SlideShare a Scribd company logo
1 of 6
Download to read offline
International Journal of Engineering Research and Development
e-ISSN : 2278-067X, p-ISSN : 2278-800X, www.ijerd.com
Volume 2, Issue 7 (August 2012), PP. 01-06


    Modification of Classical Two Loop Autopilot Design using PI
          Controller and Reduced Order Observer (DGO)
                                   Parijat Bhowmick1, Prof. Gourhari Das2
                     1,2
                           Dept. of Electrical Engg. (Control Systems), Jadavpur University, Kolkata, India



Abstract–– A flight path rate demand modified two-loop lateral missile autopilot design methodology for a class of rear
controlled guided missile, based on state feedback, output feedback, reduced order Das & Ghosal observer (DGO) and PI
controller is proposed. The open loop undamped model of two-loop autopilot has been stabilized by using pole placement
and state feedback. The non-minimum phase feature of rear controlled missile airframes is analyzed. An optimal pole
placement has been done through an iterative method such that the adverse effect of non-minimum phase property on the
response of missile autopilot can be reduced considerably and also the system stability can be made better. The overall
response of the modified two-loop autopilot has been significantly improved over the previous ones - specially the flight
path rate and body rate. The flight path rate (as well as the lateral acceleration) has reached the commanded unit step
input without compromising on its settling time thus it has been able to eliminate the steady state error. The system can
now also cop up with the body rate demand and even the Maximum body rate demand is decreased to a great extent as
compared to the classical two-loop design. Reduced order Das & Ghosal observer (DGO), using Generalized Matrix
Inverse) is implemented successfully in this design. A program has been developed to find out the optimal pole positions
and feedback gains according to the desired time domain performance specifications. Finally a numerical example has
been considered and the simulated results are discussed in details.

Keywords––Two Loop Pitch Missile Autopilot, Non-minimum phase system, Flight path rate, Body Rate, Rate Gyro,
Accelerometers, Luenberger Observer, Das & Ghosal Observer, Generalized Matrix Inverse, PI controller.

                                               I.         INTRODUCTION
            This paper is in continuation with the work reported in reference [1] by the present authors. It deals with the
modified two-loop lateral missile autopilot design methodology in pitch plane based on time domain design approach. In
literature [3] & [4], detailed design of classical two loop flight path rate demand autopilot (fig. 2.1) is given. Here the
accelerometer provides the main output (flight path rate) feedback and the rate gyro enables the body rate feedback (inner
loop) thus resulting in two loops. The authors presented three different design situations of two loop lateral autopilot for a
class of guided missile. Frequency domain approach had been taken in those papers. In conventional two loop autopilot
system there is no provision for direct control over the missile body rate. However, Tactical homing missiles require explicit
control on body rate. Three such specific requirements are a) body rate generation not to exceed predetermined maximum; b)
body acceleration limit; and c) it could produce moderate actuator rates without rate saturation for sudden pitch rate
demands. In literature [5], authors modified the design of two loop lateral autopilot and proposed an additional rate gyro
feedback to be applied at the input of an integrating amplifier block (fig. 2.2) which integrates the body rate (i.e. pitch rate
here) error to obtain direct control over the missile body rate. This enhanced model is referred to as Three Loop Lateral
Autopilot. The three loop autopilot has a larger dc gain and a relatively small high frequency gain compared to a two-loop
autopilot. This feature effectively improves the steady state performance and loop stiffness as well as reduces the initial
negative peak of the time response. The three-loop autopilot attempts to reduce the adverse effect of non-minimum phase
zeros. In reference [6], Prof. G. Das and T. K. Ghosal have derived a new method of reduced order observer construction
based on Generalized Matrix Inverse theory [14] which possesses some certain advantages over the well known and well-
established Luenberger observer [11] & [12]. In paper [7] & [8], the present authors discussed about the intricate details of
Luenberger observer and Das & Ghosal (DGO) observer. They have also carried out an exhaustive comparison (structure-
wise and performance-wise) between the two observers. In literature [10], Lin Defu, Fan Junfang, Qi Zaikang and Mou Yu
have proposed a modification of classical three-loop lateral autopilot design using frequency domain approach. Also they
have done performance and robustness comparisons between the two-loop and classical three-loop topologies. In order to
eliminate the static error, Hui WANG, De-fu LIN, Jiang WANG and Zhen-xuan CHENG [9] introduced PI compensator to
the classical two-loop autopilot and the contribution of PI was analyzed while the equivalent time constant estimates of two-
loop autopilot with PI was discussed. Four different objective functions were given to the design procedures. It is concluded
that it is the large gain at low frequency of PI solved the problem of static error. He has also discussed the “Lever Effect”
feature of autopilot dynamics in details.

           The unique contribution of this paper is the modified design technique of conventional two-loop lateral missile
autopilot in state space domain by reduced order Das & Ghosal observer (DGO) based state feedback and a PI controller in
the forward path. It has been established through this paper that the initial negative peak occurring in the time response due
to the non-minimum phase zeros, the reduction of which posed a major challenge so far in autopilot design, is reduced
drastically without compromising much on its setting time and steady state values. More over the steady state performance is
                                                                 1
Modification of Classical Two Loop Lateral Missile Autopilot Design using output feedback…

also improved much) as compared to the classical two-loop design [1]. This configuration has also been able to lower the
maximum body rate and the fin deflection rates which are the major issues of structural failure of a missile. This modified
design (fig 2.3) of two-loop autopilot is even more advantageous than the classical three-loop [2] design (fig. 2.2) since in
case of the latter there is always some steady state error in flight path rate response. Reduced order Das & Ghosal observer
has been applied effectively to estimate fin deflection and its rate.


    II.          DEVELOPMENT OF MODIFIED TWO-LOOP AUTOPILOT FROM THE
                               CONVENTIONAL ONE
The following block diagrams (fig. 2.1 & 2.2) represents the transfer function model of flight path rate demand two loop and
three loop autopilot respectively in pitch plane [3], [4] & [5].




                   Fig – 2.1: Conventional Flight Path Rate Demand Two Loop Autopilot Configuration

   𝑾𝒉𝒆𝒓𝒆 𝑮 𝟏 𝒂𝒏𝒅 𝑮 𝟐 𝒂𝒓𝒆 𝒕𝒉𝒆 𝑨𝒆𝒓𝒐𝒅𝒚𝒏𝒂𝒎𝒊𝒄 𝒕𝒓𝒂𝒏𝒔𝒇𝒆𝒓 𝒇𝒖𝒏𝒄𝒕𝒊𝒐𝒏𝒔; 𝑮 𝟑 𝒊𝒔 𝒕𝒉𝒆 𝑨𝒄𝒕𝒖𝒂𝒕𝒐𝒓 𝒕𝒓𝒂𝒏𝒔𝒇𝒆𝒓 𝒇𝒖𝒏𝒄𝒕𝒊𝒐𝒏;




                  Fig – 2.2: Conventional Three Loop Autopilot Configuration (Transfer Function Model)


         The open loop model i.e. the cascaded combination- 𝐺1 𝐺2 𝐺3 of fig. 2.1 can be converted to the corresponding state
space model given by 𝒙 = 𝑨𝒙 + 𝑩𝒖 & 𝒚 = 𝑪𝒙 (discussed in the next section) and the conventional two-loop configuration
can be converted to an equivalent state space model.

Notations & Symbols used:

𝜸 𝑖𝑠 𝑓𝑙𝑖𝑔𝑕𝑡 𝑝𝑎𝑡𝑕 𝑟𝑎𝑡𝑒; 𝑞 𝑖𝑠 𝑝𝑖𝑡𝑐𝑕 𝑟𝑎𝑡𝑒;
 𝒘 𝒂 𝑖𝑠 𝑛𝑎𝑡𝑢𝑟𝑎𝑙 𝑓𝑟𝑒𝑞𝑢𝑒𝑛𝑐𝑦 𝑜𝑓𝐴𝑐𝑡𝑢𝑎𝑡𝑜𝑟; 𝜻 𝒂 𝑖𝑠 𝑑𝑎𝑚𝑝𝑖𝑛𝑔
𝑟𝑎𝑡𝑖𝑜 𝑜𝑓 𝑎𝑐𝑡𝑢𝑎𝑡𝑜𝑟; 𝑲 𝑷 , 𝑲 𝒒 , 𝑲 𝒃 𝑎𝑟𝑒 𝑡𝑕𝑒 𝑐𝑜𝑛𝑡𝑟𝑜𝑙 𝑔𝑎𝑖𝑛𝑠;
  𝒘 𝒃 𝑖𝑠 𝑤𝑒𝑎𝑡𝑕𝑒𝑟 𝑐𝑜𝑐𝑘 𝑓𝑟𝑒𝑞𝑢𝑒𝑛𝑐𝑦; 𝑻 𝒂 𝑖𝑠 𝑡𝑕𝑒
𝑖𝑛𝑐𝑖𝑑𝑒𝑛𝑐𝑒 𝑙𝑎𝑔 𝑜𝑓 𝑡𝑕𝑒 𝑎𝑖𝑟 𝑓𝑟𝑎𝑚𝑒;
 𝜼 𝑖𝑠 𝐸𝑙𝑒𝑣𝑎𝑡𝑜𝑟 𝑑𝑒𝑓𝑙𝑒𝑐𝑡𝑖𝑜𝑛; 𝝈 𝑖𝑠 𝑎𝑞𝑢𝑎𝑛𝑡𝑖𝑡𝑦 𝑤𝑕𝑜𝑜𝑠𝑒
 𝑖𝑛𝑣𝑒𝑠𝑒 𝑑𝑒𝑡𝑒𝑟𝑚𝑖𝑛𝑒𝑠 𝑡𝑕𝑒 𝑙𝑜𝑐𝑎𝑡𝑖𝑜𝑛𝑠 𝑜𝑓𝑛𝑜𝑛 − 𝑚𝑖𝑛𝑖𝑚𝑢𝑚 𝑝𝑕𝑎𝑠𝑒 𝑧𝑒𝑟𝑜𝑠; 𝒘 𝒊 𝑖𝑛𝑡𝑒𝑔𝑟𝑎𝑡𝑜𝑟 𝑔𝑎𝑖𝑛;




           Now the modified configuration of two-loop lateral autopilot using Das & Ghosal observer, output feedback and
PI controller is presented below in fig. 2.3. The gain matrix 𝑲 = 𝑲 𝟏 𝑲 𝟐 𝑲 𝟑 𝑲 𝟒 is obtained by an iterative method on
the basis of the optimal pole locations.


                                                             2
Modification of Classical Two Loop Lateral Missile Autopilot Design using output feedback…




     Fig – 2.3: Modified Two-Loop Autopilot Configuration using PI Controller, Output Feedback, Das & Ghosal Observer
                                                         (DGO)


            III.                       STATE VARIABLE MODELING OF TWO LOOP AUTOPILOT
The open loop model of two loop autopilot (fig. 2.1)

               𝐺3                                𝐺1                            𝐺2

can be converted to state variable form based on the following four state variables:

𝑥1   =   𝛾 𝐹𝑙𝑖𝑔𝑕𝑡 𝑝𝑎𝑡𝑕 𝑟𝑎𝑡𝑒 𝑑𝑒𝑚𝑎𝑛𝑑 ;
𝑥2   =   𝑞 𝑝𝑖𝑡𝑐𝑕 𝑟𝑎𝑡𝑒 ;
𝑥3   =    𝜂 𝑒𝑙𝑒𝑣𝑎𝑡𝑜𝑟 𝑑𝑒𝑓𝑙𝑒𝑐𝑡𝑖𝑜𝑛 ;
𝑥4   =   𝜂 (𝑟𝑎𝑡𝑒 𝑜𝑓 𝑐𝑕𝑎𝑛𝑐𝑒 𝑜𝑓 𝑒𝑙𝑒𝑣𝑎𝑡𝑜𝑟 𝑑𝑒𝑓𝑙𝑒𝑐𝑡𝑖𝑜𝑛

Out of them 𝑥1 𝑎𝑛𝑑 𝑥 𝟐 have been considered to be as outputs. Thus two-loop autopilot model is a SIMO (single input –
multiple outputs) system. Such that the A, B & C matrices become (taken from [1] & [2]):

                      𝟏             𝟏+𝛔 𝟐 𝐰 𝐛𝟐         𝑲𝒃 𝝈𝟐 𝒘𝟐
             −                                   −            𝒃
                                                                    −𝑲 𝒃 𝝈 𝟐 𝒘 𝟐
                                                                               𝒃
                      𝐓𝐚               𝑻𝒂                 𝑻𝒂                                     𝟎
             𝟏+𝒘 𝟐 𝑻 𝟐
                 𝒃 𝒂                    𝟏             𝑲 𝒃 𝒘 𝟐 𝑻 𝒂 𝟏−𝛔 𝟐 𝐓 𝐚𝟐
                                                            𝒃                                    𝟎
𝐀= −       𝑻 𝒂 𝟏+𝝈 𝟐 𝒘 𝟐                𝐓𝐚                  𝟏+𝝈 𝟐 𝒘 𝟐
                                                                                𝟎   ; 𝐁=         𝟎     … … (𝟑. 𝟏𝒂)
                       𝒃                                            𝒃
                  𝟎                    𝟎           𝟎                  𝟏                        𝑲𝒒 𝒘𝟐
                                                                                                   𝒂
                  𝟎                    𝟎        −𝒘 𝟐 𝒂             −𝟐𝛇 𝐚 𝐰 𝐚
              𝟏            𝟎   𝟎     𝟎
and C =                                … … (𝟑. 𝟏𝒃)
              𝟎            𝟏   𝟎     𝟎

         Now the state space equivalent model of conventional two-loop autopilot (fig. 2.1) can be represented by the state
space equation given by (3.1a & 3.1b).

            Ultimately the modified two loop flight path rate demand autopilot (fig. 2.3) has been introduced by incorporating
Das & Ghosal observer (DGO), output feedback and PI controller along with the state space equivalent model and an
iterative method has been adopted to find out the optimal pole positions based on the desired time domain performance
criteria (e.g. steady state value, settling time, peak overshoot, undershoot, rising time etc.). The combined system (fig. 2.3) is
governed by the following set of equations:

𝑥 = 𝐴𝑥 + 𝐵𝑢 … … (3.2)

𝑦 = 𝐶𝑥 … … (3.3)

𝑥 𝑖 = 𝑟 − 𝑥1 = 𝑟 − 𝐶1 𝑥 = 𝑒 𝑡 … … (3.4)

                                                                                           3
Modification of Classical Two Loop Lateral Missile Autopilot Design using output feedback…


Where      𝐶1 = 1    0 0     0 𝑎𝑛𝑑 𝑒 𝒕 𝑖𝑠 𝑒𝑟𝑟𝑜𝑟 𝑠𝑖𝑔𝑛𝑎𝑙;

𝑢 = 𝐾𝑖 𝑋 𝑖 + 𝐾 𝑝 𝑒(𝑡) − 𝐾𝑥 … … (3.5)

          The closed loop poles, calculated from the characteristics equation of the overall transfer function of the
conventional two-loop autopilot configuration (fig. 2.1), have also been considered for performance comparison with those
obtained from the present modified two-loop configuration with DGO and PI controller (fig. 2.3).

  IV.        REDUCED ORDER DAS & GHOSAL OBSERVER – GOVERNING EQUATIONS
         Reduced order Das and Ghosal observer [6] which is constructed by using Generalized Matrix Inverse [14], is
governed by the following equations and conditions.

𝑥 = 𝐶 𝑔 𝑦 + 𝐿 𝑕 … … … (4.1 ) (eqn. 13 of [6])

𝑕(𝑡) = 𝐿 𝑔 𝐴𝐿 𝑕 𝑡 + 𝐿 𝑔 𝐴𝐶 𝑔 𝑦 𝑡 + 𝐿 𝑔 𝐵 𝑢 𝑡 … … … (4.2) (eqn. 15 of [6])

𝑦 = 𝐶𝐴𝐿𝑕 + 𝐶𝐴𝐶 𝑔 𝑦 + 𝐶𝐵 𝑢 … … (4.3) (eqn. 18 of [6])

𝑕 = 𝐿 𝑔 𝐴𝐿 − 𝑀𝐶𝐴𝐿 𝑕 + 𝐿 𝑔 𝐴𝐶 𝑔 − 𝑀𝐶𝐴𝐶 𝑔 𝑦 + 𝐿 𝑔 − 𝑀𝐶𝐵 𝑢 + 𝑀𝑦 … … (4.4) (eqn. 19 of [6])

𝑞 = 𝐿 𝑔 𝐴𝐿 − 𝑀𝐶𝐴𝐿 𝑞 +         𝐿 𝑔 𝐴𝐶 𝑔 − 𝑀𝐶𝐴𝐶 𝑔 + 𝐿 𝑔 𝐴𝐿 − 𝑀𝐶𝐴𝐿 𝑀 𝑦 + 𝐿 𝑔 − 𝑀𝐶𝐵 𝑢 … … (4.5) (eqn. 20 of [6])

𝑤𝑕𝑒𝑟𝑒 𝑞 = 𝑕 − 𝑀𝑦 … … (4.6) (Page-374 of [6])

Equation (4.5) can be expressed in short form: 𝑞 = 𝐴 𝑞 + 𝐽 𝑦 + 𝐵 𝑢 … … (4.7)

𝐴𝑛𝑑 𝑥 = 𝐿𝑞 + (𝐶 𝑔 + 𝐿𝑀)𝑦 … … 4.8 (eqn. 21 of [6])

Equation (4.8) can also be expressed in short form: 𝑥 = 𝐶 𝑞 + 𝐷 𝑦 … … (4.9)

Finally equation (3.2) can be rewritten by using eqns. (3.3), (3.4), (3.5) & (4.8) -

𝑥=      𝐴 − 𝐵𝐾 𝑝 𝐶1 − 𝐵𝐾𝐷 𝐶 𝑥 + 𝐵𝐾𝑖 𝑋 𝑖 − 𝐵𝐾𝐶 𝑞 + 𝐵𝐾 𝑝 𝑟 … … (4.10)

Finally equation (4.7) can be rewritten by using eqns. (3.3), (3.4), (3.5) & (4.8) -

𝑞 = 𝐽 𝐶 − 𝐵 𝐾𝐷 𝐶 − 𝐵 𝐾 𝑝 𝐶1 𝑥 + 𝐵 𝐾𝑖 𝑋 𝑖 +       𝐴 − 𝐵 𝐾𝐶 𝑞 + 𝐵 𝐾 𝑝 𝑟 … … (4.11)

Combining eqns. (4.10), (3.4) and (4.11) into a matrix, we get

 𝑥          𝐴 − 𝐵𝐾 𝑝 𝐶1 − 𝐵𝐾𝐷 𝐶          𝐵𝐾𝑖       −𝐵𝐾𝐶        𝑥    𝐵𝐾 𝑝 4×1
 𝑋𝑖 =               −𝐶1                0 1×1       0 1×2       𝑋𝑖 +   𝐼 1×1        𝑟 … … 4.12 𝑎   𝑎𝑛𝑑
 𝑞         𝐽 𝐶 − 𝐵 𝐾𝐷 𝐶 − 𝐵 𝐾 𝑝 𝐶1       𝐵 𝐾𝑖     𝐴 − 𝐵 𝐾𝐶     𝑞    𝐵 𝐾 𝑝 2×1

                                     𝑥
     1    0 0     0 0     0 0        𝑋 𝑖 … … (4.12 𝑏)
𝑌=
     0    0 1     0 0     0 0        𝑞

𝑎𝑛𝑑 𝑥 = 𝐶 𝑞 + 𝐷 𝑦 = 𝐶 𝑞 + 𝐷 𝐶𝑥 … … 4.13 𝑐 .


                                        V.              SIMULATION RESULTS
The following numerical data for a class of guided missile have been taken for Matlab simulation:
                                                   𝑟𝑎𝑑
𝑇 𝑎 = 0.36 𝑠𝑒𝑐; 𝜎 2 = 0.00029 sec 2 ; 𝑤 𝑏 = 11.77      ;
                                                   𝑠𝑒𝑐
 𝜁 𝑎 = 0.6; 𝐾 𝑏 = −10.6272 𝑝𝑒𝑟 𝑠𝑒𝑐;
            𝑚
𝑣 = 470        ; 𝐾 𝑝 = 5.51; 𝐾 𝑞 = −0.07;
           𝑠𝑒𝑐
             𝑟𝑎𝑑
  𝑤 𝑎 = 180       ; 𝑤 𝑖 = 22.02;
              𝑠𝑒𝑐

Using these values, the open loop state space model of two-loop autopilot [given by eqns. (3.1a & b)] becomes,
                                                                 4
Modification of Classical Two Loop Lateral Missile Autopilot Design using output feedback…


 𝑥1    −2.77    1.1860  2.8894 0.4269                                                            𝑥1     0
 𝑥2      0         0         0  1                                                                𝑥2     0
    =                                                                                            𝑥3 +       𝑢 … … (5𝑎)
 𝑥3   −50.6161 −508.388   2.77   0                                                                      0
 𝑥4      0      −32400     0   −216                                                              𝑥4   −3888

                                                    𝑥1
   1                                  0 0    0      𝑥2
𝑦=                                                  𝑥3 … … (5𝑏)
   0                                  1 0    0
                                                    𝑥4

Finally unit step simulation is done on the combined model (i.e. two-loop autopilot + state feedback + DGO + PI controller),
given by matrix eqns. (4.12a), (4.12b) & (4.12c), is simulated by using Matlab software (version 7.12, 2012a) and the results
obtained, are presented below:



                                2                                                                                                           8

                                                                                                                                                                                             x2
                              1.5                                                                                                           6
                                                                                                                                                                                             xhatG2

                                1                                                                                                           4
        Flight path rate




                                                                                                            Pitch rate, q
                              0.5                                                                                                           2
                                                                                      x1
                                                                                      xhatG1
                                0                                                                                                           0


                              -0.5                                                                                                          -2


                               -1                                                                                                           -4


                              -1.5                                                                                                          -6
                                  0         0.1       0.2          0.3          0.4      0.5      0.6                                         0     0.1     0.2          0.3           0.4      0.5      0.6
                                                                  t sec                                                                                                 t sec
                                            Figure 7.1: Flight Path Rate                                                                          Figure 7.2: Body rate (Pitch rate)

N.B: In all of the above four graphs the blue lines indicate the modified two-loop autopilot states (as per fig. 2.3). While the
red dotted lines indicate the estimated states obtained by using reduced order Das & Ghosal observer (DGO).


                             0.5                                                                                                            2


                             0.4                                                                                                            0
                                                                                        x3
                                                                                                             Rate of Elevator deflection




                                                                                        xhatG3
  Elevator deflection, eta




                                                                                                                                            -2
                             0.3
                                                                                                                                            -4
                             0.2                                                                                                                                                               x4
                                                                                                                                            -6                                                 xhatG4
                             0.1
                                                                                                                                            -8
                               0
                                                                                                                                           -10

                             -0.1                                                                                                          -12

                             -0.2                                                                                                          -14
                                 0           0.1            0.2           0.3         0.4        0.5                                          0      0.05         0.1           0.15         0.2        0.25
                                                                  t sec                                                                                                 t sec
                                        Figure 7.3: Elevator Deflection                                     Figure 7.4: Rate of Elevator Deflection




                                                                                                        5
Modification of Classical Two Loop Lateral Missile Autopilot Design using output feedback…

                            VI.             OBSERVATIONS AND DISCUSSIONS
           From the simulation results, it can be inferred that the present method of modified two-loop autopilot design using
PI controller and Das & Ghosal Observer (DGO) is a very effective and efficient one. It has improved the overall
responses, specially the initial negative peak of 𝛾 , 𝜂, 𝜂 responses due to the presence of non-minimum phase zeros, without
sacrificing the settling time period and final steady state values. Moreover it has reduced the peak body rate (𝑞) demand as
compared to the previous ones and also increased the steady state level of 𝛾 to a great extent. It has also been established
through the simulation that Das & Ghosal observer has successfully caught the system states within less than 0.02 seconds
and that also without any steady state error or oscillations. Further the experiments have also been carried out on the very
well known and well used Luenberger observer [11] & [12] in place of Das & Ghosal [6] and it is seen that Luenberger
observer will work only when the C matrix lies in the standard form 𝐼 ⋮ 0 otherwise not. Like here C matrix is in the
standard form. Otherwise it will require an additional coordinate transformation to bring back the C matrix in the standard
form and then only Luenberger observer will succeed. This is a one of the greatest advantages [8], [9] of Das & Ghosal
observer over Luenberger.


                                                 ACKNOWLEDGEMENT

         I would like to thank my friend Sanjay Bhadra and Avijit Banerjee, Control System section, Electrical
Engineering Department, Jadavpur University, for his constant support and motivation.

                                        REFERENCE AND BIBLIOGRAPHY

  [1].    Parijat Bhowmick and Dr. Gourhari Das, “Reduced Order Observer (DGO) based State Variable Design of Two Loop Lateral
          Missile Autopilot in Pitch Plane”, International Journal of Engineering Research and Development (IJERD), to be published in
          June issue, 1(7),2012
  [2].    Parijat Bhowmick and Dr. Gourhari Das, “Three loop Lateral Missile Autopilot Design in Pitch Plane using State Feedback &
          Reduced Order
  [3].    Observer (DGO)”, International Journal of Engineering Research and Development (IJERD), to be published in June issue, 2012
  [4].    Gourhari Das, K. Dutta, T K. Ghosal, and S. K. Goswami, “Structured Design Methodology of Missile Autopilot ”, Institute of
          Engineers (I) journal – EL, Kolkata, India, November. pp 49-59 1996.
  [5].    Gourhari Das, K. Dutta, T. K. Ghosal, and S. K. Goswami, “Structured Design Methodology of Missile Autopilot – II”, Institute
          of Engineers (I) journal – EL, Kolkata, India, November, vol 79 pp.28-34, 1998
  [6].    Gourhari Das, K. Dutta, T. K. Ghosal, and S. K. Goswami, “Structured Linear Design Methodology for Three-Loop Lateral
          Missile Autopilot”, Institute of Engineers (I) journal, EL-1, Kolkata, India, February, vol 85 pp 231-238, 2005
  [7].    Gourhari Das and T.K. Ghosal, “Reduced-order observer construction by generalized matrix inverse”, International Journal of
          Control, vol. 33, no. 2, pp. 371-378, 1981.
  [8].    Parijat Bhowmick and Dr Gourhari Das, “Application of Das & Ghosal Observer and Comparison between Reduced Order
          Luenberger and Reduced Order Das & Ghosal Observer”, Proceedings of RITS-International Conference On Advancements In
          Engineering & Management (RITS ICAEM), pp. 1-8, Hyderabad, February 2012
  [9].    Parijat Bhowmick and Dr. Gourhari Das, “A Detailed Comparative Study between Reduced Order Luenberger and Reduced
          Order Das & Ghosal Observer and their Applications” Proceedings of the International Conference in Computer, Electronics and
          Electronics Engineering, pp. 154 – 161, Mumbai, March 2012, doi:10.3850/978-981-07-1847-3 P0623.
  [10].   Wen Qui-qiu, Xia Qun-li and Cai chun-tao, “Study on Autopilot PI Compensator Optimal Parameter Design with Phase Lag
          Constrain”, published in International IEEE Conference on Intelligent Computing and Intelligent Systems (ICIS), Vol. 1, pp. 865
          – 869, October 2010.
  [11].   Lin Defu, Fan Junfang, Qi Zaikang and Mou Yu, “Analysis and improvement of missile three-loop autopilots”, Journal of
          Systems Engineering and Electronics, vol. 20, No. 4, pp. 844-851, 2009
  [12].   D.G. Luenberger, “An Introduction to Observers”, IEEE Transactions on Automatic Control, vol. AC-16, no. 6, pp. 596-602,
          December. 1971.
  [13].   D.G. Luenberger, “Observing the states of a linear system”, IEEE Transactions Mil. Electron. vol. MIL-8, pp. 74-80, April. 1964.
  [14].   P. Garnell and D. J. East, “Guided Weapon Control Systems”, Pergamon press, 1977
  [15].   F.A. Graybill, “Introduction to Matrices with Applications in Statistics”, Belmont, CA: Wadsworth, 1969.
  [16].   Elbert Hendrics, Ole Jannerup and Paul Hasse Sorensen, “Linear Systems Control – Deterministic and stochastic Methods”, 1st
          Edition, Berlin, Springer Publishers, 2008




                                                                   6

More Related Content

What's hot

Improving Structural Limitations of Pid Controller For Unstable Processes
Improving Structural Limitations of Pid Controller For Unstable ProcessesImproving Structural Limitations of Pid Controller For Unstable Processes
Improving Structural Limitations of Pid Controller For Unstable ProcessesIJERA Editor
 
ENHANCED DATA DRIVEN MODE-FREE ADAPTIVE YAW CONTROL OF UAV HELICOPTER
ENHANCED DATA DRIVEN MODE-FREE ADAPTIVE YAW CONTROL OF UAV HELICOPTERENHANCED DATA DRIVEN MODE-FREE ADAPTIVE YAW CONTROL OF UAV HELICOPTER
ENHANCED DATA DRIVEN MODE-FREE ADAPTIVE YAW CONTROL OF UAV HELICOPTERijics
 
Neural Network Control Based on Adaptive Observer for Quadrotor Helicopter
Neural Network Control Based on Adaptive Observer for Quadrotor HelicopterNeural Network Control Based on Adaptive Observer for Quadrotor Helicopter
Neural Network Control Based on Adaptive Observer for Quadrotor HelicopterIJITCA Journal
 
12EE62R11_Final Presentation
12EE62R11_Final Presentation12EE62R11_Final Presentation
12EE62R11_Final PresentationAmritesh Maitra
 
Robust Control of Rotor/AMB Systems
Robust Control of Rotor/AMB SystemsRobust Control of Rotor/AMB Systems
Robust Control of Rotor/AMB SystemsSina Kuseyri
 
DESIGN AND IMPLEMENTATION OF AREA AND POWER OPTIMISED NOVEL SCANFLOP
DESIGN AND IMPLEMENTATION OF AREA AND POWER OPTIMISED NOVEL SCANFLOPDESIGN AND IMPLEMENTATION OF AREA AND POWER OPTIMISED NOVEL SCANFLOP
DESIGN AND IMPLEMENTATION OF AREA AND POWER OPTIMISED NOVEL SCANFLOPVLSICS Design
 
Quadcopter Design for Payload Delivery
Quadcopter Design for Payload Delivery Quadcopter Design for Payload Delivery
Quadcopter Design for Payload Delivery Onyebuchi nosiri
 
Quadcopter Design for Payload Delivery
Quadcopter Design for Payload Delivery Quadcopter Design for Payload Delivery
Quadcopter Design for Payload Delivery Onyebuchi nosiri
 
LinuxFest NW - Using Postgis To Add Some Spatial Flavor To Your App
LinuxFest NW - Using Postgis To Add Some Spatial Flavor To Your AppLinuxFest NW - Using Postgis To Add Some Spatial Flavor To Your App
LinuxFest NW - Using Postgis To Add Some Spatial Flavor To Your AppSteven Pousty
 
A Comparison Study between Inferred State-Space and Neural Network Based Syst...
A Comparison Study between Inferred State-Space and Neural Network Based Syst...A Comparison Study between Inferred State-Space and Neural Network Based Syst...
A Comparison Study between Inferred State-Space and Neural Network Based Syst...Ahmed Momtaz Hosny, PhD
 
Chen Zeng (201375033)
Chen Zeng (201375033)Chen Zeng (201375033)
Chen Zeng (201375033)Chen Zeng
 
Development of a Customized Autopilot for Unmanned Helicopter Model Using Gen...
Development of a Customized Autopilot for Unmanned Helicopter Model Using Gen...Development of a Customized Autopilot for Unmanned Helicopter Model Using Gen...
Development of a Customized Autopilot for Unmanned Helicopter Model Using Gen...Ahmed Momtaz Hosny, PhD
 
Development of a Customized Autopilot for Unmanned Helicopter Model
Development of a Customized Autopilot for Unmanned Helicopter ModelDevelopment of a Customized Autopilot for Unmanned Helicopter Model
Development of a Customized Autopilot for Unmanned Helicopter ModelAhmed Momtaz Hosny, PhD
 
Optimum tuning of pid controller for a permanent magnet brushless dc motor
Optimum tuning of pid controller for a permanent magnet brushless dc motorOptimum tuning of pid controller for a permanent magnet brushless dc motor
Optimum tuning of pid controller for a permanent magnet brushless dc motorIAEME Publication
 
CRP presentation final
CRP presentation finalCRP presentation final
CRP presentation finalTieg Laskowske
 
CDR template revised Ver 3.1.1 presentation
CDR template revised Ver 3.1.1 presentationCDR template revised Ver 3.1.1 presentation
CDR template revised Ver 3.1.1 presentationArya dash
 
NAFEMS_RB_presentation
NAFEMS_RB_presentationNAFEMS_RB_presentation
NAFEMS_RB_presentationRon-Bin Cheng
 

What's hot (17)

Improving Structural Limitations of Pid Controller For Unstable Processes
Improving Structural Limitations of Pid Controller For Unstable ProcessesImproving Structural Limitations of Pid Controller For Unstable Processes
Improving Structural Limitations of Pid Controller For Unstable Processes
 
ENHANCED DATA DRIVEN MODE-FREE ADAPTIVE YAW CONTROL OF UAV HELICOPTER
ENHANCED DATA DRIVEN MODE-FREE ADAPTIVE YAW CONTROL OF UAV HELICOPTERENHANCED DATA DRIVEN MODE-FREE ADAPTIVE YAW CONTROL OF UAV HELICOPTER
ENHANCED DATA DRIVEN MODE-FREE ADAPTIVE YAW CONTROL OF UAV HELICOPTER
 
Neural Network Control Based on Adaptive Observer for Quadrotor Helicopter
Neural Network Control Based on Adaptive Observer for Quadrotor HelicopterNeural Network Control Based on Adaptive Observer for Quadrotor Helicopter
Neural Network Control Based on Adaptive Observer for Quadrotor Helicopter
 
12EE62R11_Final Presentation
12EE62R11_Final Presentation12EE62R11_Final Presentation
12EE62R11_Final Presentation
 
Robust Control of Rotor/AMB Systems
Robust Control of Rotor/AMB SystemsRobust Control of Rotor/AMB Systems
Robust Control of Rotor/AMB Systems
 
DESIGN AND IMPLEMENTATION OF AREA AND POWER OPTIMISED NOVEL SCANFLOP
DESIGN AND IMPLEMENTATION OF AREA AND POWER OPTIMISED NOVEL SCANFLOPDESIGN AND IMPLEMENTATION OF AREA AND POWER OPTIMISED NOVEL SCANFLOP
DESIGN AND IMPLEMENTATION OF AREA AND POWER OPTIMISED NOVEL SCANFLOP
 
Quadcopter Design for Payload Delivery
Quadcopter Design for Payload Delivery Quadcopter Design for Payload Delivery
Quadcopter Design for Payload Delivery
 
Quadcopter Design for Payload Delivery
Quadcopter Design for Payload Delivery Quadcopter Design for Payload Delivery
Quadcopter Design for Payload Delivery
 
LinuxFest NW - Using Postgis To Add Some Spatial Flavor To Your App
LinuxFest NW - Using Postgis To Add Some Spatial Flavor To Your AppLinuxFest NW - Using Postgis To Add Some Spatial Flavor To Your App
LinuxFest NW - Using Postgis To Add Some Spatial Flavor To Your App
 
A Comparison Study between Inferred State-Space and Neural Network Based Syst...
A Comparison Study between Inferred State-Space and Neural Network Based Syst...A Comparison Study between Inferred State-Space and Neural Network Based Syst...
A Comparison Study between Inferred State-Space and Neural Network Based Syst...
 
Chen Zeng (201375033)
Chen Zeng (201375033)Chen Zeng (201375033)
Chen Zeng (201375033)
 
Development of a Customized Autopilot for Unmanned Helicopter Model Using Gen...
Development of a Customized Autopilot for Unmanned Helicopter Model Using Gen...Development of a Customized Autopilot for Unmanned Helicopter Model Using Gen...
Development of a Customized Autopilot for Unmanned Helicopter Model Using Gen...
 
Development of a Customized Autopilot for Unmanned Helicopter Model
Development of a Customized Autopilot for Unmanned Helicopter ModelDevelopment of a Customized Autopilot for Unmanned Helicopter Model
Development of a Customized Autopilot for Unmanned Helicopter Model
 
Optimum tuning of pid controller for a permanent magnet brushless dc motor
Optimum tuning of pid controller for a permanent magnet brushless dc motorOptimum tuning of pid controller for a permanent magnet brushless dc motor
Optimum tuning of pid controller for a permanent magnet brushless dc motor
 
CRP presentation final
CRP presentation finalCRP presentation final
CRP presentation final
 
CDR template revised Ver 3.1.1 presentation
CDR template revised Ver 3.1.1 presentationCDR template revised Ver 3.1.1 presentation
CDR template revised Ver 3.1.1 presentation
 
NAFEMS_RB_presentation
NAFEMS_RB_presentationNAFEMS_RB_presentation
NAFEMS_RB_presentation
 

Similar to A02070106

STABILIZATION AT UPRIGHT EQUILIBRIUM POSITION OF A DOUBLE INVERTED PENDULUM W...
STABILIZATION AT UPRIGHT EQUILIBRIUM POSITION OF A DOUBLE INVERTED PENDULUM W...STABILIZATION AT UPRIGHT EQUILIBRIUM POSITION OF A DOUBLE INVERTED PENDULUM W...
STABILIZATION AT UPRIGHT EQUILIBRIUM POSITION OF A DOUBLE INVERTED PENDULUM W...ijcsa
 
Neural Network Control Based on Adaptive Observer for Quadrotor Helicopter
Neural Network Control Based on Adaptive Observer for Quadrotor HelicopterNeural Network Control Based on Adaptive Observer for Quadrotor Helicopter
Neural Network Control Based on Adaptive Observer for Quadrotor HelicopterIJITCA Journal
 
Hexacopter using MATLAB Simulink and MPU Sensing
Hexacopter using MATLAB Simulink and MPU SensingHexacopter using MATLAB Simulink and MPU Sensing
Hexacopter using MATLAB Simulink and MPU SensingIRJET Journal
 
The active suspension system with hydraulic actuator for half car model analy...
The active suspension system with hydraulic actuator for half car model analy...The active suspension system with hydraulic actuator for half car model analy...
The active suspension system with hydraulic actuator for half car model analy...eSAT Publishing House
 
Optimal FOPI-FOPD controller design for rotary inverted pendulum system using...
Optimal FOPI-FOPD controller design for rotary inverted pendulum system using...Optimal FOPI-FOPD controller design for rotary inverted pendulum system using...
Optimal FOPI-FOPD controller design for rotary inverted pendulum system using...TELKOMNIKA JOURNAL
 
Unmanned Airplane Autopilot Tuning
Unmanned Airplane Autopilot TuningUnmanned Airplane Autopilot Tuning
Unmanned Airplane Autopilot TuningIJERA Editor
 
Modelling, and Design of a Quadcopter With MATLAB Implementation
Modelling, and Design of a Quadcopter With MATLAB ImplementationModelling, and Design of a Quadcopter With MATLAB Implementation
Modelling, and Design of a Quadcopter With MATLAB ImplementationIRJET Journal
 
Effect of Discrete Yaw Direction Setting for 4 Roter Helicopter Control: Comp...
Effect of Discrete Yaw Direction Setting for 4 Roter Helicopter Control: Comp...Effect of Discrete Yaw Direction Setting for 4 Roter Helicopter Control: Comp...
Effect of Discrete Yaw Direction Setting for 4 Roter Helicopter Control: Comp...AM Publications
 
Evaluation of the stability enhancement of the conventional sliding mode cont...
Evaluation of the stability enhancement of the conventional sliding mode cont...Evaluation of the stability enhancement of the conventional sliding mode cont...
Evaluation of the stability enhancement of the conventional sliding mode cont...nooriasukmaningtyas
 
Volume 2-issue-6-2130-2138
Volume 2-issue-6-2130-2138Volume 2-issue-6-2130-2138
Volume 2-issue-6-2130-2138Editor IJARCET
 
Volume 2-issue-6-2130-2138
Volume 2-issue-6-2130-2138Volume 2-issue-6-2130-2138
Volume 2-issue-6-2130-2138Editor IJARCET
 
ENHANCED DATA DRIVEN MODE-FREE ADAPTIVE YAW CONTROL OF UAV HELICOPTER
ENHANCED DATA DRIVEN MODE-FREE ADAPTIVE YAW CONTROL OF UAV HELICOPTERENHANCED DATA DRIVEN MODE-FREE ADAPTIVE YAW CONTROL OF UAV HELICOPTER
ENHANCED DATA DRIVEN MODE-FREE ADAPTIVE YAW CONTROL OF UAV HELICOPTERijcisjournal
 
Analysis and Design of Conventional Controller for Speed Control of DC Motor ...
Analysis and Design of Conventional Controller for Speed Control of DC Motor ...Analysis and Design of Conventional Controller for Speed Control of DC Motor ...
Analysis and Design of Conventional Controller for Speed Control of DC Motor ...IJERA Editor
 
Elevation, pitch and travel axis stabilization of 3DOF helicopter with hybrid...
Elevation, pitch and travel axis stabilization of 3DOF helicopter with hybrid...Elevation, pitch and travel axis stabilization of 3DOF helicopter with hybrid...
Elevation, pitch and travel axis stabilization of 3DOF helicopter with hybrid...IJECEIAES
 
1 s2.0-s0016003213003104-main
1 s2.0-s0016003213003104-main1 s2.0-s0016003213003104-main
1 s2.0-s0016003213003104-mainRamalakshmi Vijay
 
E043036045
E043036045E043036045
E043036045inventy
 
E043036045
E043036045E043036045
E043036045inventy
 
E043036045
E043036045E043036045
E043036045inventy
 

Similar to A02070106 (20)

STABILIZATION AT UPRIGHT EQUILIBRIUM POSITION OF A DOUBLE INVERTED PENDULUM W...
STABILIZATION AT UPRIGHT EQUILIBRIUM POSITION OF A DOUBLE INVERTED PENDULUM W...STABILIZATION AT UPRIGHT EQUILIBRIUM POSITION OF A DOUBLE INVERTED PENDULUM W...
STABILIZATION AT UPRIGHT EQUILIBRIUM POSITION OF A DOUBLE INVERTED PENDULUM W...
 
Neural Network Control Based on Adaptive Observer for Quadrotor Helicopter
Neural Network Control Based on Adaptive Observer for Quadrotor HelicopterNeural Network Control Based on Adaptive Observer for Quadrotor Helicopter
Neural Network Control Based on Adaptive Observer for Quadrotor Helicopter
 
Hexacopter using MATLAB Simulink and MPU Sensing
Hexacopter using MATLAB Simulink and MPU SensingHexacopter using MATLAB Simulink and MPU Sensing
Hexacopter using MATLAB Simulink and MPU Sensing
 
The active suspension system with hydraulic actuator for half car model analy...
The active suspension system with hydraulic actuator for half car model analy...The active suspension system with hydraulic actuator for half car model analy...
The active suspension system with hydraulic actuator for half car model analy...
 
Optimal FOPI-FOPD controller design for rotary inverted pendulum system using...
Optimal FOPI-FOPD controller design for rotary inverted pendulum system using...Optimal FOPI-FOPD controller design for rotary inverted pendulum system using...
Optimal FOPI-FOPD controller design for rotary inverted pendulum system using...
 
Unmanned Airplane Autopilot Tuning
Unmanned Airplane Autopilot TuningUnmanned Airplane Autopilot Tuning
Unmanned Airplane Autopilot Tuning
 
B010341317
B010341317B010341317
B010341317
 
Modelling, and Design of a Quadcopter With MATLAB Implementation
Modelling, and Design of a Quadcopter With MATLAB ImplementationModelling, and Design of a Quadcopter With MATLAB Implementation
Modelling, and Design of a Quadcopter With MATLAB Implementation
 
Effect of Discrete Yaw Direction Setting for 4 Roter Helicopter Control: Comp...
Effect of Discrete Yaw Direction Setting for 4 Roter Helicopter Control: Comp...Effect of Discrete Yaw Direction Setting for 4 Roter Helicopter Control: Comp...
Effect of Discrete Yaw Direction Setting for 4 Roter Helicopter Control: Comp...
 
Hovering Control of Quadrotor Based on Fuzzy Logic
Hovering Control of Quadrotor Based on Fuzzy LogicHovering Control of Quadrotor Based on Fuzzy Logic
Hovering Control of Quadrotor Based on Fuzzy Logic
 
Evaluation of the stability enhancement of the conventional sliding mode cont...
Evaluation of the stability enhancement of the conventional sliding mode cont...Evaluation of the stability enhancement of the conventional sliding mode cont...
Evaluation of the stability enhancement of the conventional sliding mode cont...
 
Volume 2-issue-6-2130-2138
Volume 2-issue-6-2130-2138Volume 2-issue-6-2130-2138
Volume 2-issue-6-2130-2138
 
Volume 2-issue-6-2130-2138
Volume 2-issue-6-2130-2138Volume 2-issue-6-2130-2138
Volume 2-issue-6-2130-2138
 
ENHANCED DATA DRIVEN MODE-FREE ADAPTIVE YAW CONTROL OF UAV HELICOPTER
ENHANCED DATA DRIVEN MODE-FREE ADAPTIVE YAW CONTROL OF UAV HELICOPTERENHANCED DATA DRIVEN MODE-FREE ADAPTIVE YAW CONTROL OF UAV HELICOPTER
ENHANCED DATA DRIVEN MODE-FREE ADAPTIVE YAW CONTROL OF UAV HELICOPTER
 
Analysis and Design of Conventional Controller for Speed Control of DC Motor ...
Analysis and Design of Conventional Controller for Speed Control of DC Motor ...Analysis and Design of Conventional Controller for Speed Control of DC Motor ...
Analysis and Design of Conventional Controller for Speed Control of DC Motor ...
 
Elevation, pitch and travel axis stabilization of 3DOF helicopter with hybrid...
Elevation, pitch and travel axis stabilization of 3DOF helicopter with hybrid...Elevation, pitch and travel axis stabilization of 3DOF helicopter with hybrid...
Elevation, pitch and travel axis stabilization of 3DOF helicopter with hybrid...
 
1 s2.0-s0016003213003104-main
1 s2.0-s0016003213003104-main1 s2.0-s0016003213003104-main
1 s2.0-s0016003213003104-main
 
E043036045
E043036045E043036045
E043036045
 
E043036045
E043036045E043036045
E043036045
 
E043036045
E043036045E043036045
E043036045
 

More from IJERD Editor

A Novel Method for Prevention of Bandwidth Distributed Denial of Service Attacks
A Novel Method for Prevention of Bandwidth Distributed Denial of Service AttacksA Novel Method for Prevention of Bandwidth Distributed Denial of Service Attacks
A Novel Method for Prevention of Bandwidth Distributed Denial of Service AttacksIJERD Editor
 
MEMS MICROPHONE INTERFACE
MEMS MICROPHONE INTERFACEMEMS MICROPHONE INTERFACE
MEMS MICROPHONE INTERFACEIJERD Editor
 
Influence of tensile behaviour of slab on the structural Behaviour of shear c...
Influence of tensile behaviour of slab on the structural Behaviour of shear c...Influence of tensile behaviour of slab on the structural Behaviour of shear c...
Influence of tensile behaviour of slab on the structural Behaviour of shear c...IJERD Editor
 
Gold prospecting using Remote Sensing ‘A case study of Sudan’
Gold prospecting using Remote Sensing ‘A case study of Sudan’Gold prospecting using Remote Sensing ‘A case study of Sudan’
Gold prospecting using Remote Sensing ‘A case study of Sudan’IJERD Editor
 
Reducing Corrosion Rate by Welding Design
Reducing Corrosion Rate by Welding DesignReducing Corrosion Rate by Welding Design
Reducing Corrosion Rate by Welding DesignIJERD Editor
 
Router 1X3 – RTL Design and Verification
Router 1X3 – RTL Design and VerificationRouter 1X3 – RTL Design and Verification
Router 1X3 – RTL Design and VerificationIJERD Editor
 
Active Power Exchange in Distributed Power-Flow Controller (DPFC) At Third Ha...
Active Power Exchange in Distributed Power-Flow Controller (DPFC) At Third Ha...Active Power Exchange in Distributed Power-Flow Controller (DPFC) At Third Ha...
Active Power Exchange in Distributed Power-Flow Controller (DPFC) At Third Ha...IJERD Editor
 
Mitigation of Voltage Sag/Swell with Fuzzy Control Reduced Rating DVR
Mitigation of Voltage Sag/Swell with Fuzzy Control Reduced Rating DVRMitigation of Voltage Sag/Swell with Fuzzy Control Reduced Rating DVR
Mitigation of Voltage Sag/Swell with Fuzzy Control Reduced Rating DVRIJERD Editor
 
Study on the Fused Deposition Modelling In Additive Manufacturing
Study on the Fused Deposition Modelling In Additive ManufacturingStudy on the Fused Deposition Modelling In Additive Manufacturing
Study on the Fused Deposition Modelling In Additive ManufacturingIJERD Editor
 
Spyware triggering system by particular string value
Spyware triggering system by particular string valueSpyware triggering system by particular string value
Spyware triggering system by particular string valueIJERD Editor
 
A Blind Steganalysis on JPEG Gray Level Image Based on Statistical Features a...
A Blind Steganalysis on JPEG Gray Level Image Based on Statistical Features a...A Blind Steganalysis on JPEG Gray Level Image Based on Statistical Features a...
A Blind Steganalysis on JPEG Gray Level Image Based on Statistical Features a...IJERD Editor
 
Secure Image Transmission for Cloud Storage System Using Hybrid Scheme
Secure Image Transmission for Cloud Storage System Using Hybrid SchemeSecure Image Transmission for Cloud Storage System Using Hybrid Scheme
Secure Image Transmission for Cloud Storage System Using Hybrid SchemeIJERD Editor
 
Application of Buckley-Leverett Equation in Modeling the Radius of Invasion i...
Application of Buckley-Leverett Equation in Modeling the Radius of Invasion i...Application of Buckley-Leverett Equation in Modeling the Radius of Invasion i...
Application of Buckley-Leverett Equation in Modeling the Radius of Invasion i...IJERD Editor
 
Gesture Gaming on the World Wide Web Using an Ordinary Web Camera
Gesture Gaming on the World Wide Web Using an Ordinary Web CameraGesture Gaming on the World Wide Web Using an Ordinary Web Camera
Gesture Gaming on the World Wide Web Using an Ordinary Web CameraIJERD Editor
 
Hardware Analysis of Resonant Frequency Converter Using Isolated Circuits And...
Hardware Analysis of Resonant Frequency Converter Using Isolated Circuits And...Hardware Analysis of Resonant Frequency Converter Using Isolated Circuits And...
Hardware Analysis of Resonant Frequency Converter Using Isolated Circuits And...IJERD Editor
 
Simulated Analysis of Resonant Frequency Converter Using Different Tank Circu...
Simulated Analysis of Resonant Frequency Converter Using Different Tank Circu...Simulated Analysis of Resonant Frequency Converter Using Different Tank Circu...
Simulated Analysis of Resonant Frequency Converter Using Different Tank Circu...IJERD Editor
 
Moon-bounce: A Boon for VHF Dxing
Moon-bounce: A Boon for VHF DxingMoon-bounce: A Boon for VHF Dxing
Moon-bounce: A Boon for VHF DxingIJERD Editor
 
“MS-Extractor: An Innovative Approach to Extract Microsatellites on „Y‟ Chrom...
“MS-Extractor: An Innovative Approach to Extract Microsatellites on „Y‟ Chrom...“MS-Extractor: An Innovative Approach to Extract Microsatellites on „Y‟ Chrom...
“MS-Extractor: An Innovative Approach to Extract Microsatellites on „Y‟ Chrom...IJERD Editor
 
Importance of Measurements in Smart Grid
Importance of Measurements in Smart GridImportance of Measurements in Smart Grid
Importance of Measurements in Smart GridIJERD Editor
 
Study of Macro level Properties of SCC using GGBS and Lime stone powder
Study of Macro level Properties of SCC using GGBS and Lime stone powderStudy of Macro level Properties of SCC using GGBS and Lime stone powder
Study of Macro level Properties of SCC using GGBS and Lime stone powderIJERD Editor
 

More from IJERD Editor (20)

A Novel Method for Prevention of Bandwidth Distributed Denial of Service Attacks
A Novel Method for Prevention of Bandwidth Distributed Denial of Service AttacksA Novel Method for Prevention of Bandwidth Distributed Denial of Service Attacks
A Novel Method for Prevention of Bandwidth Distributed Denial of Service Attacks
 
MEMS MICROPHONE INTERFACE
MEMS MICROPHONE INTERFACEMEMS MICROPHONE INTERFACE
MEMS MICROPHONE INTERFACE
 
Influence of tensile behaviour of slab on the structural Behaviour of shear c...
Influence of tensile behaviour of slab on the structural Behaviour of shear c...Influence of tensile behaviour of slab on the structural Behaviour of shear c...
Influence of tensile behaviour of slab on the structural Behaviour of shear c...
 
Gold prospecting using Remote Sensing ‘A case study of Sudan’
Gold prospecting using Remote Sensing ‘A case study of Sudan’Gold prospecting using Remote Sensing ‘A case study of Sudan’
Gold prospecting using Remote Sensing ‘A case study of Sudan’
 
Reducing Corrosion Rate by Welding Design
Reducing Corrosion Rate by Welding DesignReducing Corrosion Rate by Welding Design
Reducing Corrosion Rate by Welding Design
 
Router 1X3 – RTL Design and Verification
Router 1X3 – RTL Design and VerificationRouter 1X3 – RTL Design and Verification
Router 1X3 – RTL Design and Verification
 
Active Power Exchange in Distributed Power-Flow Controller (DPFC) At Third Ha...
Active Power Exchange in Distributed Power-Flow Controller (DPFC) At Third Ha...Active Power Exchange in Distributed Power-Flow Controller (DPFC) At Third Ha...
Active Power Exchange in Distributed Power-Flow Controller (DPFC) At Third Ha...
 
Mitigation of Voltage Sag/Swell with Fuzzy Control Reduced Rating DVR
Mitigation of Voltage Sag/Swell with Fuzzy Control Reduced Rating DVRMitigation of Voltage Sag/Swell with Fuzzy Control Reduced Rating DVR
Mitigation of Voltage Sag/Swell with Fuzzy Control Reduced Rating DVR
 
Study on the Fused Deposition Modelling In Additive Manufacturing
Study on the Fused Deposition Modelling In Additive ManufacturingStudy on the Fused Deposition Modelling In Additive Manufacturing
Study on the Fused Deposition Modelling In Additive Manufacturing
 
Spyware triggering system by particular string value
Spyware triggering system by particular string valueSpyware triggering system by particular string value
Spyware triggering system by particular string value
 
A Blind Steganalysis on JPEG Gray Level Image Based on Statistical Features a...
A Blind Steganalysis on JPEG Gray Level Image Based on Statistical Features a...A Blind Steganalysis on JPEG Gray Level Image Based on Statistical Features a...
A Blind Steganalysis on JPEG Gray Level Image Based on Statistical Features a...
 
Secure Image Transmission for Cloud Storage System Using Hybrid Scheme
Secure Image Transmission for Cloud Storage System Using Hybrid SchemeSecure Image Transmission for Cloud Storage System Using Hybrid Scheme
Secure Image Transmission for Cloud Storage System Using Hybrid Scheme
 
Application of Buckley-Leverett Equation in Modeling the Radius of Invasion i...
Application of Buckley-Leverett Equation in Modeling the Radius of Invasion i...Application of Buckley-Leverett Equation in Modeling the Radius of Invasion i...
Application of Buckley-Leverett Equation in Modeling the Radius of Invasion i...
 
Gesture Gaming on the World Wide Web Using an Ordinary Web Camera
Gesture Gaming on the World Wide Web Using an Ordinary Web CameraGesture Gaming on the World Wide Web Using an Ordinary Web Camera
Gesture Gaming on the World Wide Web Using an Ordinary Web Camera
 
Hardware Analysis of Resonant Frequency Converter Using Isolated Circuits And...
Hardware Analysis of Resonant Frequency Converter Using Isolated Circuits And...Hardware Analysis of Resonant Frequency Converter Using Isolated Circuits And...
Hardware Analysis of Resonant Frequency Converter Using Isolated Circuits And...
 
Simulated Analysis of Resonant Frequency Converter Using Different Tank Circu...
Simulated Analysis of Resonant Frequency Converter Using Different Tank Circu...Simulated Analysis of Resonant Frequency Converter Using Different Tank Circu...
Simulated Analysis of Resonant Frequency Converter Using Different Tank Circu...
 
Moon-bounce: A Boon for VHF Dxing
Moon-bounce: A Boon for VHF DxingMoon-bounce: A Boon for VHF Dxing
Moon-bounce: A Boon for VHF Dxing
 
“MS-Extractor: An Innovative Approach to Extract Microsatellites on „Y‟ Chrom...
“MS-Extractor: An Innovative Approach to Extract Microsatellites on „Y‟ Chrom...“MS-Extractor: An Innovative Approach to Extract Microsatellites on „Y‟ Chrom...
“MS-Extractor: An Innovative Approach to Extract Microsatellites on „Y‟ Chrom...
 
Importance of Measurements in Smart Grid
Importance of Measurements in Smart GridImportance of Measurements in Smart Grid
Importance of Measurements in Smart Grid
 
Study of Macro level Properties of SCC using GGBS and Lime stone powder
Study of Macro level Properties of SCC using GGBS and Lime stone powderStudy of Macro level Properties of SCC using GGBS and Lime stone powder
Study of Macro level Properties of SCC using GGBS and Lime stone powder
 

Recently uploaded

Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
Artificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraArtificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraDeakin University
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphNeo4j
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024Scott Keck-Warren
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions
 
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024BookNet Canada
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxOnBoard
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr LapshynFwdays
 
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024BookNet Canada
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 

Recently uploaded (20)

Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
Artificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraArtificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning era
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping Elbows
 
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptx
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
 
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 

A02070106

  • 1. International Journal of Engineering Research and Development e-ISSN : 2278-067X, p-ISSN : 2278-800X, www.ijerd.com Volume 2, Issue 7 (August 2012), PP. 01-06 Modification of Classical Two Loop Autopilot Design using PI Controller and Reduced Order Observer (DGO) Parijat Bhowmick1, Prof. Gourhari Das2 1,2 Dept. of Electrical Engg. (Control Systems), Jadavpur University, Kolkata, India Abstract–– A flight path rate demand modified two-loop lateral missile autopilot design methodology for a class of rear controlled guided missile, based on state feedback, output feedback, reduced order Das & Ghosal observer (DGO) and PI controller is proposed. The open loop undamped model of two-loop autopilot has been stabilized by using pole placement and state feedback. The non-minimum phase feature of rear controlled missile airframes is analyzed. An optimal pole placement has been done through an iterative method such that the adverse effect of non-minimum phase property on the response of missile autopilot can be reduced considerably and also the system stability can be made better. The overall response of the modified two-loop autopilot has been significantly improved over the previous ones - specially the flight path rate and body rate. The flight path rate (as well as the lateral acceleration) has reached the commanded unit step input without compromising on its settling time thus it has been able to eliminate the steady state error. The system can now also cop up with the body rate demand and even the Maximum body rate demand is decreased to a great extent as compared to the classical two-loop design. Reduced order Das & Ghosal observer (DGO), using Generalized Matrix Inverse) is implemented successfully in this design. A program has been developed to find out the optimal pole positions and feedback gains according to the desired time domain performance specifications. Finally a numerical example has been considered and the simulated results are discussed in details. Keywords––Two Loop Pitch Missile Autopilot, Non-minimum phase system, Flight path rate, Body Rate, Rate Gyro, Accelerometers, Luenberger Observer, Das & Ghosal Observer, Generalized Matrix Inverse, PI controller. I. INTRODUCTION This paper is in continuation with the work reported in reference [1] by the present authors. It deals with the modified two-loop lateral missile autopilot design methodology in pitch plane based on time domain design approach. In literature [3] & [4], detailed design of classical two loop flight path rate demand autopilot (fig. 2.1) is given. Here the accelerometer provides the main output (flight path rate) feedback and the rate gyro enables the body rate feedback (inner loop) thus resulting in two loops. The authors presented three different design situations of two loop lateral autopilot for a class of guided missile. Frequency domain approach had been taken in those papers. In conventional two loop autopilot system there is no provision for direct control over the missile body rate. However, Tactical homing missiles require explicit control on body rate. Three such specific requirements are a) body rate generation not to exceed predetermined maximum; b) body acceleration limit; and c) it could produce moderate actuator rates without rate saturation for sudden pitch rate demands. In literature [5], authors modified the design of two loop lateral autopilot and proposed an additional rate gyro feedback to be applied at the input of an integrating amplifier block (fig. 2.2) which integrates the body rate (i.e. pitch rate here) error to obtain direct control over the missile body rate. This enhanced model is referred to as Three Loop Lateral Autopilot. The three loop autopilot has a larger dc gain and a relatively small high frequency gain compared to a two-loop autopilot. This feature effectively improves the steady state performance and loop stiffness as well as reduces the initial negative peak of the time response. The three-loop autopilot attempts to reduce the adverse effect of non-minimum phase zeros. In reference [6], Prof. G. Das and T. K. Ghosal have derived a new method of reduced order observer construction based on Generalized Matrix Inverse theory [14] which possesses some certain advantages over the well known and well- established Luenberger observer [11] & [12]. In paper [7] & [8], the present authors discussed about the intricate details of Luenberger observer and Das & Ghosal (DGO) observer. They have also carried out an exhaustive comparison (structure- wise and performance-wise) between the two observers. In literature [10], Lin Defu, Fan Junfang, Qi Zaikang and Mou Yu have proposed a modification of classical three-loop lateral autopilot design using frequency domain approach. Also they have done performance and robustness comparisons between the two-loop and classical three-loop topologies. In order to eliminate the static error, Hui WANG, De-fu LIN, Jiang WANG and Zhen-xuan CHENG [9] introduced PI compensator to the classical two-loop autopilot and the contribution of PI was analyzed while the equivalent time constant estimates of two- loop autopilot with PI was discussed. Four different objective functions were given to the design procedures. It is concluded that it is the large gain at low frequency of PI solved the problem of static error. He has also discussed the “Lever Effect” feature of autopilot dynamics in details. The unique contribution of this paper is the modified design technique of conventional two-loop lateral missile autopilot in state space domain by reduced order Das & Ghosal observer (DGO) based state feedback and a PI controller in the forward path. It has been established through this paper that the initial negative peak occurring in the time response due to the non-minimum phase zeros, the reduction of which posed a major challenge so far in autopilot design, is reduced drastically without compromising much on its setting time and steady state values. More over the steady state performance is 1
  • 2. Modification of Classical Two Loop Lateral Missile Autopilot Design using output feedback… also improved much) as compared to the classical two-loop design [1]. This configuration has also been able to lower the maximum body rate and the fin deflection rates which are the major issues of structural failure of a missile. This modified design (fig 2.3) of two-loop autopilot is even more advantageous than the classical three-loop [2] design (fig. 2.2) since in case of the latter there is always some steady state error in flight path rate response. Reduced order Das & Ghosal observer has been applied effectively to estimate fin deflection and its rate. II. DEVELOPMENT OF MODIFIED TWO-LOOP AUTOPILOT FROM THE CONVENTIONAL ONE The following block diagrams (fig. 2.1 & 2.2) represents the transfer function model of flight path rate demand two loop and three loop autopilot respectively in pitch plane [3], [4] & [5]. Fig – 2.1: Conventional Flight Path Rate Demand Two Loop Autopilot Configuration 𝑾𝒉𝒆𝒓𝒆 𝑮 𝟏 𝒂𝒏𝒅 𝑮 𝟐 𝒂𝒓𝒆 𝒕𝒉𝒆 𝑨𝒆𝒓𝒐𝒅𝒚𝒏𝒂𝒎𝒊𝒄 𝒕𝒓𝒂𝒏𝒔𝒇𝒆𝒓 𝒇𝒖𝒏𝒄𝒕𝒊𝒐𝒏𝒔; 𝑮 𝟑 𝒊𝒔 𝒕𝒉𝒆 𝑨𝒄𝒕𝒖𝒂𝒕𝒐𝒓 𝒕𝒓𝒂𝒏𝒔𝒇𝒆𝒓 𝒇𝒖𝒏𝒄𝒕𝒊𝒐𝒏; Fig – 2.2: Conventional Three Loop Autopilot Configuration (Transfer Function Model) The open loop model i.e. the cascaded combination- 𝐺1 𝐺2 𝐺3 of fig. 2.1 can be converted to the corresponding state space model given by 𝒙 = 𝑨𝒙 + 𝑩𝒖 & 𝒚 = 𝑪𝒙 (discussed in the next section) and the conventional two-loop configuration can be converted to an equivalent state space model. Notations & Symbols used: 𝜸 𝑖𝑠 𝑓𝑙𝑖𝑔𝑕𝑡 𝑝𝑎𝑡𝑕 𝑟𝑎𝑡𝑒; 𝑞 𝑖𝑠 𝑝𝑖𝑡𝑐𝑕 𝑟𝑎𝑡𝑒; 𝒘 𝒂 𝑖𝑠 𝑛𝑎𝑡𝑢𝑟𝑎𝑙 𝑓𝑟𝑒𝑞𝑢𝑒𝑛𝑐𝑦 𝑜𝑓𝐴𝑐𝑡𝑢𝑎𝑡𝑜𝑟; 𝜻 𝒂 𝑖𝑠 𝑑𝑎𝑚𝑝𝑖𝑛𝑔 𝑟𝑎𝑡𝑖𝑜 𝑜𝑓 𝑎𝑐𝑡𝑢𝑎𝑡𝑜𝑟; 𝑲 𝑷 , 𝑲 𝒒 , 𝑲 𝒃 𝑎𝑟𝑒 𝑡𝑕𝑒 𝑐𝑜𝑛𝑡𝑟𝑜𝑙 𝑔𝑎𝑖𝑛𝑠; 𝒘 𝒃 𝑖𝑠 𝑤𝑒𝑎𝑡𝑕𝑒𝑟 𝑐𝑜𝑐𝑘 𝑓𝑟𝑒𝑞𝑢𝑒𝑛𝑐𝑦; 𝑻 𝒂 𝑖𝑠 𝑡𝑕𝑒 𝑖𝑛𝑐𝑖𝑑𝑒𝑛𝑐𝑒 𝑙𝑎𝑔 𝑜𝑓 𝑡𝑕𝑒 𝑎𝑖𝑟 𝑓𝑟𝑎𝑚𝑒; 𝜼 𝑖𝑠 𝐸𝑙𝑒𝑣𝑎𝑡𝑜𝑟 𝑑𝑒𝑓𝑙𝑒𝑐𝑡𝑖𝑜𝑛; 𝝈 𝑖𝑠 𝑎𝑞𝑢𝑎𝑛𝑡𝑖𝑡𝑦 𝑤𝑕𝑜𝑜𝑠𝑒 𝑖𝑛𝑣𝑒𝑠𝑒 𝑑𝑒𝑡𝑒𝑟𝑚𝑖𝑛𝑒𝑠 𝑡𝑕𝑒 𝑙𝑜𝑐𝑎𝑡𝑖𝑜𝑛𝑠 𝑜𝑓𝑛𝑜𝑛 − 𝑚𝑖𝑛𝑖𝑚𝑢𝑚 𝑝𝑕𝑎𝑠𝑒 𝑧𝑒𝑟𝑜𝑠; 𝒘 𝒊 𝑖𝑛𝑡𝑒𝑔𝑟𝑎𝑡𝑜𝑟 𝑔𝑎𝑖𝑛; Now the modified configuration of two-loop lateral autopilot using Das & Ghosal observer, output feedback and PI controller is presented below in fig. 2.3. The gain matrix 𝑲 = 𝑲 𝟏 𝑲 𝟐 𝑲 𝟑 𝑲 𝟒 is obtained by an iterative method on the basis of the optimal pole locations. 2
  • 3. Modification of Classical Two Loop Lateral Missile Autopilot Design using output feedback… Fig – 2.3: Modified Two-Loop Autopilot Configuration using PI Controller, Output Feedback, Das & Ghosal Observer (DGO) III. STATE VARIABLE MODELING OF TWO LOOP AUTOPILOT The open loop model of two loop autopilot (fig. 2.1) 𝐺3 𝐺1 𝐺2 can be converted to state variable form based on the following four state variables: 𝑥1 = 𝛾 𝐹𝑙𝑖𝑔𝑕𝑡 𝑝𝑎𝑡𝑕 𝑟𝑎𝑡𝑒 𝑑𝑒𝑚𝑎𝑛𝑑 ; 𝑥2 = 𝑞 𝑝𝑖𝑡𝑐𝑕 𝑟𝑎𝑡𝑒 ; 𝑥3 = 𝜂 𝑒𝑙𝑒𝑣𝑎𝑡𝑜𝑟 𝑑𝑒𝑓𝑙𝑒𝑐𝑡𝑖𝑜𝑛 ; 𝑥4 = 𝜂 (𝑟𝑎𝑡𝑒 𝑜𝑓 𝑐𝑕𝑎𝑛𝑐𝑒 𝑜𝑓 𝑒𝑙𝑒𝑣𝑎𝑡𝑜𝑟 𝑑𝑒𝑓𝑙𝑒𝑐𝑡𝑖𝑜𝑛 Out of them 𝑥1 𝑎𝑛𝑑 𝑥 𝟐 have been considered to be as outputs. Thus two-loop autopilot model is a SIMO (single input – multiple outputs) system. Such that the A, B & C matrices become (taken from [1] & [2]): 𝟏 𝟏+𝛔 𝟐 𝐰 𝐛𝟐 𝑲𝒃 𝝈𝟐 𝒘𝟐 − − 𝒃 −𝑲 𝒃 𝝈 𝟐 𝒘 𝟐 𝒃 𝐓𝐚 𝑻𝒂 𝑻𝒂 𝟎 𝟏+𝒘 𝟐 𝑻 𝟐 𝒃 𝒂 𝟏 𝑲 𝒃 𝒘 𝟐 𝑻 𝒂 𝟏−𝛔 𝟐 𝐓 𝐚𝟐 𝒃 𝟎 𝐀= − 𝑻 𝒂 𝟏+𝝈 𝟐 𝒘 𝟐 𝐓𝐚 𝟏+𝝈 𝟐 𝒘 𝟐 𝟎 ; 𝐁= 𝟎 … … (𝟑. 𝟏𝒂) 𝒃 𝒃 𝟎 𝟎 𝟎 𝟏 𝑲𝒒 𝒘𝟐 𝒂 𝟎 𝟎 −𝒘 𝟐 𝒂 −𝟐𝛇 𝐚 𝐰 𝐚 𝟏 𝟎 𝟎 𝟎 and C = … … (𝟑. 𝟏𝒃) 𝟎 𝟏 𝟎 𝟎 Now the state space equivalent model of conventional two-loop autopilot (fig. 2.1) can be represented by the state space equation given by (3.1a & 3.1b). Ultimately the modified two loop flight path rate demand autopilot (fig. 2.3) has been introduced by incorporating Das & Ghosal observer (DGO), output feedback and PI controller along with the state space equivalent model and an iterative method has been adopted to find out the optimal pole positions based on the desired time domain performance criteria (e.g. steady state value, settling time, peak overshoot, undershoot, rising time etc.). The combined system (fig. 2.3) is governed by the following set of equations: 𝑥 = 𝐴𝑥 + 𝐵𝑢 … … (3.2) 𝑦 = 𝐶𝑥 … … (3.3) 𝑥 𝑖 = 𝑟 − 𝑥1 = 𝑟 − 𝐶1 𝑥 = 𝑒 𝑡 … … (3.4) 3
  • 4. Modification of Classical Two Loop Lateral Missile Autopilot Design using output feedback… Where 𝐶1 = 1 0 0 0 𝑎𝑛𝑑 𝑒 𝒕 𝑖𝑠 𝑒𝑟𝑟𝑜𝑟 𝑠𝑖𝑔𝑛𝑎𝑙; 𝑢 = 𝐾𝑖 𝑋 𝑖 + 𝐾 𝑝 𝑒(𝑡) − 𝐾𝑥 … … (3.5) The closed loop poles, calculated from the characteristics equation of the overall transfer function of the conventional two-loop autopilot configuration (fig. 2.1), have also been considered for performance comparison with those obtained from the present modified two-loop configuration with DGO and PI controller (fig. 2.3). IV. REDUCED ORDER DAS & GHOSAL OBSERVER – GOVERNING EQUATIONS Reduced order Das and Ghosal observer [6] which is constructed by using Generalized Matrix Inverse [14], is governed by the following equations and conditions. 𝑥 = 𝐶 𝑔 𝑦 + 𝐿 𝑕 … … … (4.1 ) (eqn. 13 of [6]) 𝑕(𝑡) = 𝐿 𝑔 𝐴𝐿 𝑕 𝑡 + 𝐿 𝑔 𝐴𝐶 𝑔 𝑦 𝑡 + 𝐿 𝑔 𝐵 𝑢 𝑡 … … … (4.2) (eqn. 15 of [6]) 𝑦 = 𝐶𝐴𝐿𝑕 + 𝐶𝐴𝐶 𝑔 𝑦 + 𝐶𝐵 𝑢 … … (4.3) (eqn. 18 of [6]) 𝑕 = 𝐿 𝑔 𝐴𝐿 − 𝑀𝐶𝐴𝐿 𝑕 + 𝐿 𝑔 𝐴𝐶 𝑔 − 𝑀𝐶𝐴𝐶 𝑔 𝑦 + 𝐿 𝑔 − 𝑀𝐶𝐵 𝑢 + 𝑀𝑦 … … (4.4) (eqn. 19 of [6]) 𝑞 = 𝐿 𝑔 𝐴𝐿 − 𝑀𝐶𝐴𝐿 𝑞 + 𝐿 𝑔 𝐴𝐶 𝑔 − 𝑀𝐶𝐴𝐶 𝑔 + 𝐿 𝑔 𝐴𝐿 − 𝑀𝐶𝐴𝐿 𝑀 𝑦 + 𝐿 𝑔 − 𝑀𝐶𝐵 𝑢 … … (4.5) (eqn. 20 of [6]) 𝑤𝑕𝑒𝑟𝑒 𝑞 = 𝑕 − 𝑀𝑦 … … (4.6) (Page-374 of [6]) Equation (4.5) can be expressed in short form: 𝑞 = 𝐴 𝑞 + 𝐽 𝑦 + 𝐵 𝑢 … … (4.7) 𝐴𝑛𝑑 𝑥 = 𝐿𝑞 + (𝐶 𝑔 + 𝐿𝑀)𝑦 … … 4.8 (eqn. 21 of [6]) Equation (4.8) can also be expressed in short form: 𝑥 = 𝐶 𝑞 + 𝐷 𝑦 … … (4.9) Finally equation (3.2) can be rewritten by using eqns. (3.3), (3.4), (3.5) & (4.8) - 𝑥= 𝐴 − 𝐵𝐾 𝑝 𝐶1 − 𝐵𝐾𝐷 𝐶 𝑥 + 𝐵𝐾𝑖 𝑋 𝑖 − 𝐵𝐾𝐶 𝑞 + 𝐵𝐾 𝑝 𝑟 … … (4.10) Finally equation (4.7) can be rewritten by using eqns. (3.3), (3.4), (3.5) & (4.8) - 𝑞 = 𝐽 𝐶 − 𝐵 𝐾𝐷 𝐶 − 𝐵 𝐾 𝑝 𝐶1 𝑥 + 𝐵 𝐾𝑖 𝑋 𝑖 + 𝐴 − 𝐵 𝐾𝐶 𝑞 + 𝐵 𝐾 𝑝 𝑟 … … (4.11) Combining eqns. (4.10), (3.4) and (4.11) into a matrix, we get 𝑥 𝐴 − 𝐵𝐾 𝑝 𝐶1 − 𝐵𝐾𝐷 𝐶 𝐵𝐾𝑖 −𝐵𝐾𝐶 𝑥 𝐵𝐾 𝑝 4×1 𝑋𝑖 = −𝐶1 0 1×1 0 1×2 𝑋𝑖 + 𝐼 1×1 𝑟 … … 4.12 𝑎 𝑎𝑛𝑑 𝑞 𝐽 𝐶 − 𝐵 𝐾𝐷 𝐶 − 𝐵 𝐾 𝑝 𝐶1 𝐵 𝐾𝑖 𝐴 − 𝐵 𝐾𝐶 𝑞 𝐵 𝐾 𝑝 2×1 𝑥 1 0 0 0 0 0 0 𝑋 𝑖 … … (4.12 𝑏) 𝑌= 0 0 1 0 0 0 0 𝑞 𝑎𝑛𝑑 𝑥 = 𝐶 𝑞 + 𝐷 𝑦 = 𝐶 𝑞 + 𝐷 𝐶𝑥 … … 4.13 𝑐 . V. SIMULATION RESULTS The following numerical data for a class of guided missile have been taken for Matlab simulation: 𝑟𝑎𝑑 𝑇 𝑎 = 0.36 𝑠𝑒𝑐; 𝜎 2 = 0.00029 sec 2 ; 𝑤 𝑏 = 11.77 ; 𝑠𝑒𝑐 𝜁 𝑎 = 0.6; 𝐾 𝑏 = −10.6272 𝑝𝑒𝑟 𝑠𝑒𝑐; 𝑚 𝑣 = 470 ; 𝐾 𝑝 = 5.51; 𝐾 𝑞 = −0.07; 𝑠𝑒𝑐 𝑟𝑎𝑑 𝑤 𝑎 = 180 ; 𝑤 𝑖 = 22.02; 𝑠𝑒𝑐 Using these values, the open loop state space model of two-loop autopilot [given by eqns. (3.1a & b)] becomes, 4
  • 5. Modification of Classical Two Loop Lateral Missile Autopilot Design using output feedback… 𝑥1 −2.77 1.1860 2.8894 0.4269 𝑥1 0 𝑥2 0 0 0 1 𝑥2 0 = 𝑥3 + 𝑢 … … (5𝑎) 𝑥3 −50.6161 −508.388 2.77 0 0 𝑥4 0 −32400 0 −216 𝑥4 −3888 𝑥1 1 0 0 0 𝑥2 𝑦= 𝑥3 … … (5𝑏) 0 1 0 0 𝑥4 Finally unit step simulation is done on the combined model (i.e. two-loop autopilot + state feedback + DGO + PI controller), given by matrix eqns. (4.12a), (4.12b) & (4.12c), is simulated by using Matlab software (version 7.12, 2012a) and the results obtained, are presented below: 2 8 x2 1.5 6 xhatG2 1 4 Flight path rate Pitch rate, q 0.5 2 x1 xhatG1 0 0 -0.5 -2 -1 -4 -1.5 -6 0 0.1 0.2 0.3 0.4 0.5 0.6 0 0.1 0.2 0.3 0.4 0.5 0.6 t sec t sec Figure 7.1: Flight Path Rate Figure 7.2: Body rate (Pitch rate) N.B: In all of the above four graphs the blue lines indicate the modified two-loop autopilot states (as per fig. 2.3). While the red dotted lines indicate the estimated states obtained by using reduced order Das & Ghosal observer (DGO). 0.5 2 0.4 0 x3 Rate of Elevator deflection xhatG3 Elevator deflection, eta -2 0.3 -4 0.2 x4 -6 xhatG4 0.1 -8 0 -10 -0.1 -12 -0.2 -14 0 0.1 0.2 0.3 0.4 0.5 0 0.05 0.1 0.15 0.2 0.25 t sec t sec Figure 7.3: Elevator Deflection Figure 7.4: Rate of Elevator Deflection 5
  • 6. Modification of Classical Two Loop Lateral Missile Autopilot Design using output feedback… VI. OBSERVATIONS AND DISCUSSIONS From the simulation results, it can be inferred that the present method of modified two-loop autopilot design using PI controller and Das & Ghosal Observer (DGO) is a very effective and efficient one. It has improved the overall responses, specially the initial negative peak of 𝛾 , 𝜂, 𝜂 responses due to the presence of non-minimum phase zeros, without sacrificing the settling time period and final steady state values. Moreover it has reduced the peak body rate (𝑞) demand as compared to the previous ones and also increased the steady state level of 𝛾 to a great extent. It has also been established through the simulation that Das & Ghosal observer has successfully caught the system states within less than 0.02 seconds and that also without any steady state error or oscillations. Further the experiments have also been carried out on the very well known and well used Luenberger observer [11] & [12] in place of Das & Ghosal [6] and it is seen that Luenberger observer will work only when the C matrix lies in the standard form 𝐼 ⋮ 0 otherwise not. Like here C matrix is in the standard form. Otherwise it will require an additional coordinate transformation to bring back the C matrix in the standard form and then only Luenberger observer will succeed. This is a one of the greatest advantages [8], [9] of Das & Ghosal observer over Luenberger. ACKNOWLEDGEMENT I would like to thank my friend Sanjay Bhadra and Avijit Banerjee, Control System section, Electrical Engineering Department, Jadavpur University, for his constant support and motivation. REFERENCE AND BIBLIOGRAPHY [1]. Parijat Bhowmick and Dr. Gourhari Das, “Reduced Order Observer (DGO) based State Variable Design of Two Loop Lateral Missile Autopilot in Pitch Plane”, International Journal of Engineering Research and Development (IJERD), to be published in June issue, 1(7),2012 [2]. Parijat Bhowmick and Dr. Gourhari Das, “Three loop Lateral Missile Autopilot Design in Pitch Plane using State Feedback & Reduced Order [3]. Observer (DGO)”, International Journal of Engineering Research and Development (IJERD), to be published in June issue, 2012 [4]. Gourhari Das, K. Dutta, T K. Ghosal, and S. K. Goswami, “Structured Design Methodology of Missile Autopilot ”, Institute of Engineers (I) journal – EL, Kolkata, India, November. pp 49-59 1996. [5]. Gourhari Das, K. Dutta, T. K. Ghosal, and S. K. Goswami, “Structured Design Methodology of Missile Autopilot – II”, Institute of Engineers (I) journal – EL, Kolkata, India, November, vol 79 pp.28-34, 1998 [6]. Gourhari Das, K. Dutta, T. K. Ghosal, and S. K. Goswami, “Structured Linear Design Methodology for Three-Loop Lateral Missile Autopilot”, Institute of Engineers (I) journal, EL-1, Kolkata, India, February, vol 85 pp 231-238, 2005 [7]. Gourhari Das and T.K. Ghosal, “Reduced-order observer construction by generalized matrix inverse”, International Journal of Control, vol. 33, no. 2, pp. 371-378, 1981. [8]. Parijat Bhowmick and Dr Gourhari Das, “Application of Das & Ghosal Observer and Comparison between Reduced Order Luenberger and Reduced Order Das & Ghosal Observer”, Proceedings of RITS-International Conference On Advancements In Engineering & Management (RITS ICAEM), pp. 1-8, Hyderabad, February 2012 [9]. Parijat Bhowmick and Dr. Gourhari Das, “A Detailed Comparative Study between Reduced Order Luenberger and Reduced Order Das & Ghosal Observer and their Applications” Proceedings of the International Conference in Computer, Electronics and Electronics Engineering, pp. 154 – 161, Mumbai, March 2012, doi:10.3850/978-981-07-1847-3 P0623. [10]. Wen Qui-qiu, Xia Qun-li and Cai chun-tao, “Study on Autopilot PI Compensator Optimal Parameter Design with Phase Lag Constrain”, published in International IEEE Conference on Intelligent Computing and Intelligent Systems (ICIS), Vol. 1, pp. 865 – 869, October 2010. [11]. Lin Defu, Fan Junfang, Qi Zaikang and Mou Yu, “Analysis and improvement of missile three-loop autopilots”, Journal of Systems Engineering and Electronics, vol. 20, No. 4, pp. 844-851, 2009 [12]. D.G. Luenberger, “An Introduction to Observers”, IEEE Transactions on Automatic Control, vol. AC-16, no. 6, pp. 596-602, December. 1971. [13]. D.G. Luenberger, “Observing the states of a linear system”, IEEE Transactions Mil. Electron. vol. MIL-8, pp. 74-80, April. 1964. [14]. P. Garnell and D. J. East, “Guided Weapon Control Systems”, Pergamon press, 1977 [15]. F.A. Graybill, “Introduction to Matrices with Applications in Statistics”, Belmont, CA: Wadsworth, 1969. [16]. Elbert Hendrics, Ole Jannerup and Paul Hasse Sorensen, “Linear Systems Control – Deterministic and stochastic Methods”, 1st Edition, Berlin, Springer Publishers, 2008 6