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CLOSED LOOP PERFORMANCE INVESTIGATION OF
CHOPPER FED DC MOTOR USING VARIOUS
CONTROLLER
1
M.Abinaya,2
P.Nedumal Pugazhenthi,3
S.Selvaperumal,4
G.Prabhakar,5
P.Gnana skandaparthiban
1
P.Gscholar,SyedAmmalEngineering College,Ramanathapuram, TN, INDIA
2
Associate Professor,syedammal Engineering college,Ramanathapuram,TN,INDIA
3
Professor, Syedammal Engineering college, Ramanathapuram,TN,INDIA
4
Assistant Professor,Syedammal Engineering college,Ramanathapuram,TN,INDIA
5
Assistant Professor,SyedAmmal Engineering college,Ramanathapuram,TN,INDIA
1
abinaya987@gmail.com,2
neduaupci@gmail.com,3
perumalvnr@gmail.com,4
gprabhakar2488@gmail.com,5
parthiban_est@gmail.com
Abstract
This paper analyse the study of closed loop performance
investigation of chopper fed separately excited dc motor using
PI controllers. Speed of separately excited DC motor can be
varied below and above the rated speed by various techniques.
Conventional controllers are commonly being used to control
the speed of the DC motors in various industrial applications.
It is to be found as a simple, robust and highly effective when
the load disturbance is small. The aim of this project is to
control this Speed of chopper based separately excited DC
motor. The PWM pulses are generated by the chopper to
control the motor speed.
The duty cycle of the PWM pulse are varied by PI
controller to attain the closed loop response. The chopper
firing circuit receives variable PWM pulses from PI
controller, to produces the variable voltage to the armature of
the motor for achieving desired speed response.
Keywords: separately excited DC motor,chopper,proportional
integral controller(PI),proportional integral derivative(PID).
I. Introduction
The development of high performance motor drives is very
important in industrial as well as other purpose applications
such as steel rolling mills, electric trains and robotics.
Generally, a high performance motor drive system must have
good dynamic speed command tracking and load regulating
response to perform task.DC drives are choosen because of
their simplicity,easiness of application, high reliability,
flexibility and less cost, this is the backbone for industrial
applications, and home appliances.wherethe speed and
position control of motor are required. DC drives are less
complex with a single power conversion from AC to DC.
Again the speed torque characteristics of DC motors are much
more superior to That of AC motors. A DC motors provide
excellent control of speed for acceleration and deceleration.
DC motors have a long tradition of use as adjustable speed
machines and a wide range of options have developed for this
purpose. In these applications, the motor should be precisely
controlled to give the desired performance. The controllers of
the speed that are conceived for goal to control the speed of
DC motor to execute one variety of tasks, is of several
conventional and numeric controller types, the controllers can
be: proportional integral (PI), proportional integral derivative
(PID) Fuzzy Logic Controller (FLC) or the combination
between them: Fuzzy-Neural Networks, Fuzzy Genetic
Algorithm, Fuzzy-Ants Colony, Fuzzy-Swarm[7].
The proportional – integral – derivative (PID) controller
operates the majority of the control system in the world. It has
been reported that more than 95% of the controllers in the
industrial process control applications are of PID type as no
other controller match the simplicity, clear functionality,
applicability and ease of use offered by the PID controller [3],
[4].
PID controllers provide robust and reliable performance for
most systems if the PID parameters are tuned properly. The
major problems in applying a conventional control algorithm
(PI, PD, PID) in a speed controller are the effects of non-
linearity in a DC motor. The nonlinear characteristics of a DC
motor such as saturation and fiction could degrade the
performance of conventional controllers [1], [2].
Generally, an accurate nonlinear model of an actual DC motor
is difficult to find and parameter obtained from systems
identification may be only approximated values. The field of
Fuzzy control has been making rapid progress in recent years.
Fuzzy logic control (FLC) is one of the most successful
applications of fuzzy set theory, introduced by L.A Zadeh in
1973 and applied (Mamdani 1974) in an attempt to control
system that are structurally difficult to model. Since then,
FLC has been an extremely active and fruitful research area
with many industrial applications reported [5].
In the last three decades, FLC has evolved as an alternative or
complementary to the conventional control strategies in
various engineering areas. Fuzzy control theory usually
provides non-linear controllers that are capable of performing
different complex non-linear control action, even for uncertain
nonlinear Systems. Unlike conventional control, designing a
FLC does not require precise knowledge of the system model
such as the poles and zeroes of the system transfer functions.
Imitating the way of human learning, the tracking error and
the rate change of the error are two crucial inputs for the
design of such a fuzzy control system [6], [7].
II.Proposed system
Armature voltage control method is used to vary the
speed of separately excited DC motor below and up to the
rated speed. (Fig.1) shows the block diagram of the proposed
method. The system consists of buck converter type DC–DC
power converter or chopper for driving the separately excited
DC motor. The performance of the DC drive will be based on
International Journal of Applied Engineering Research, ISSN 0973-4562 Vol. 10 No.55 (2015)
© Research India Publications; httpwww.ripublication.comijaer.htm
2216
the choice of controllers. The output speed of the motor is
compared with the reference speed and the error signal is fed
to speed controller. Whenever there is a difference between
the reference speed and the feedback speed, the controller
output will be changed. The output from the speed controller
is the control voltage Ec that provides required gating signals
to vary the duty cycle of the chopper circuit.The chopper
output give the required armature voltage to achieve the
desired speed response.
.
Fig1:Block diagram of proposed system.
III. MODELING OF SEPARATELY EXCITED DC MOTOR
Figure 2: Separately Excited DC motor
The armature equation is shown below:
The description for the notations used is given below:
TERMINOLOGY:
1. VA is the armature voltage in volts.
2. Eg is the motor back emf in volts.
3. Ia is the armature current in amperes.
4. Ra is the armature resistance in ohms.
5. La is the armature inductance in Henry.
Now the torque equation will be given by:
(2)
Where:
TL is load torque in Nm.
Td is the torque developed in Nm.
J is moment of inertia in kg/m².
B is friction coefficient of the motor.
ω is angular velocity in rad/sec.
In absence of friction in motor, it will give:
Therefore, new torque equation will be:
(3)
By Takingthe field flux as Φ and (Back EMF Constant)
Kv as K. Equation for back emf of motor will be:
(4)
Also,
(5)
After taking Laplace Transform on both sides, we will
get:
Now, taking equation (5) into consideration, we have:
And,
Also, The armature time constant is given by:
Figure 3: Block Model of Separately Excited DC Motor
After simplifying the motor modelFig 3, the overall transfer
function will be:
Further simplifying the above transfer function will get as:
(6)
Assuming, as time constant.
Then the above transfer function can be written as below:
(7)
When starting of motor, load torque TL = 0 and applying full
voltage Va
Also assuming negligible armature inductance, the basic
armature equation can be written as:
At the same time Torque equation will be:
(8)
Placing the value of Ia in above armature equation:
Dividing on both sides by KΦ,
(9)
-Va/KΦ is the value of motor speed under no load condition.
Therefore,
ω (no load)=
Where, (say)
And,
Therefore,
(10)
From motor torque equation, we have:
(11)
International Journal of Applied Engineering Research, ISSN 0973-4562 Vol. 10 No.55 (2015)
© Research India Publications; httpwww.ripublication.comijaer.htm
2217
From equation (5.10) and (5.11), we have:
Now, Replacing KΦ by Km in equation (5.7), we get:
(12)
Since, the armature time constant Ta is much less than the
electromechanical time constant Tm (Ta<< Tm) Simplifying,
The largest time constant will play major role in delaying the
system when the transfer function is in time constant. By
compensate the delay due to large time constant we use PI
controller as speed controller. It is because the zero of the PI
controller can be chosen in such a way that this large delay can
be cancelled. In Control system term a time delay
generallycorresponds to a lag and zero means a lead, so the PI
controller will try to compensate the whole system.
Hence, the equation can be written as:
(13)
Tm and Ta are the time constants of the above system transfer
function which will determine the response of the system.
Hence the dc motorcan be replaced by the transfer function
obtained in equation (13) in the DC drive model shown in Fig
3.
IV. HARDWARE DESCRIPTION
A. FUNDAMENTAL
The controller used in a closed loop provides a very
easy and common technique of keeping motor speed at any
desired set-point speed under changing load conditions. This
controller can also be used to keep the speed at the set-point
value when, the set-point is ramping up or down at a defined
rate.
In this closed loop speed controller, a voltage signal
obtained from a Tacho-generator attached to the rotor which is
proportional to the motor speed is fed back to the input where
compared signal is with the set-point speed to produce an error
signal. This error signal is then fed to work out what the
magnitude of controller output will be to make the motor run
at the desired set-point speed. For example, if the error speed
is negative, this means the motor is running slow so that the
controller output should be increased and vice-versa. The dc
motor specification used in this hardware setup are,voltage
12V,current1A,speed14000rpm.
B.OPEN LOOPCIRCUIT DIAGRAM
Fig 4: Open loop circuit diagram
C .OPEN LOOP OPERATION
A 230v supply is provided to step down transformer to get
24v which is fed to the bridge rectifier circuit and which is
converted to AC to DC.The DC 24v voltage obtained from the
rectifier is fed to IC7812(+12v),this voltage regulator is used
to regulate the input to 12v and given again to
ic7805(+5v).this 7805 voltage regulator, here the +5v is
regulated from this voltage regulated. which is used for the
input voltage for 555 timer circuit, here the timer circuit is
generate the gate pulse which is used to drive the motor using
MOSFET.By changing the duty cycle the motor voltage is
modified and getting the desired speed is obtained.
D.OPEN LOOP HARDWARE SETUP
Fig 5: Open Loop Hardware Model
V. ANALOG PROPORTIONAL CONTROLLER CIRCUIT
DIAGRAM
Fig 6:Analog proportional controller circuit diagram
International Journal of Applied Engineering Research, ISSN 0973-4562 Vol. 10 No.55 (2015)
© Research India Publications; httpwww.ripublication.comijaer.htm
2218
VI. COMPARATIVE ANALYSIS FOR THEORITICAL AND
PRATICAL VALUES
Table 1: Comparative analysis for theoreticaland practical values
VII.COMPARSION OF OUTPUT VOLTAGE BETWEEN
PRATICAL AND THEORITICAL VALUE
Fig 7: Comparison of output voltage between theoretical
value and practical values
VIII. ANALOG PROPORTIONAL CONTOLLER
HARDWARE
MODEL
Fig 8.Analog Proportional Controllerhardware Model
XI.OUTPUT VOLTAGE FOR RA=3.3KΩ,RB=5KΩ ,C=0.01μF
Fig9: output voltage for resistor ra=3.3kΩ, rb=5kΩ, c=0.01μf
X.ANALOG CONTROLLER OPERATION
In analog PI controller the inversion input voltage
230v is converted into 24v using step down transformer. The
half diode bridge rectifier is used between the transformer and
regulator which is used to convert 24v AC to 24v DC. In PI
controller is consist of 6 operational amplifiers with specified
resistor with potential transformer. The gate pulse is produced
by 555 timer by using the voltage regulator 7805(+5v), and
here the IC is MOSFET chosen. Gate signal is given to
theMOSFET terminal the motor speed is controlled by
varying the potential transformer which is connected to the PI
controller.
XI. CONCLUSION
The speed of a dc motor has been successfully
controlled by using a Chopper as a converter and
Proportional-Integral type Speed and Current controller based
on closedloop system model. Initially a simplified closed loop
model for speed control of DC motor is considered and
requirement of current controller is studied.
The hardware setup is carry out in this project by varying
reference speed and by varying load are also obtained.
REFERENCES
[1] B.J. Chalmers, “Influence of saturation in brushless
permanent magnet drives.” IEE proc. B, Elect.Power Appl,
vol.139, no.1, 1992.
[2] C.T. Johnson and R.D. Lorenz, “Experimental
identification of friction and its compensation in precise,
position controlled mechanism.” IEEE Trans. Ind, Applicant,
vol.28, no.6, 1992.
[3] Zhang, N. Wang and S. Wang, “A developed method of
tuning PID controllers with fuzzy rules for integrating
process,” Proceedings of the American Control Conference,
Boston, 2004, pp. 1109-1114.
[4] K.H. Ang, G. Chong and Y. Li, “PID control system
analysis, design and technology,” IEEE transaction on Control
System Technology, Vol.13, No.4, 2005, pp. 559-576.
0
1
2
3
4
5
6
1 2 3 4 5 6 7 8
Practical
value
Theoritic
al value
Different combination of Ra,Rb,C
International Journal of Applied Engineering Research, ISSN 0973-4562 Vol. 10 No.55 (2015)
© Research India Publications; httpwww.ripublication.comijaer.htm
2219
[5] H.X.Li and S.K.Tso, "Quantitative design and analysis of
Fuzzy ProportionalIntegral-Derivative Control- aStep towards
Auto tuning", International journal of system science, Vol.31,
No.5, 2000, pp.545-553.
[6] Thana Pattaradej, GuanrongChen and pitikhateSooraksa,
"Design and. Implementation of Fuzzy PID Control of a
bicycle robot" Integrated computer-aided engineering, Vol.9,
No.4, 2002
[7] Weiming Tang, Guanrong Chen and Rongde Lu, “A
Modified Fuzzy PI Controller for a Flexible-joint Robot Arm
with Uncertainties”, Fuzzy Set and System, 118 (2001) 109-
119
[8] Moleykutty George., Speed Control of Separately Excited
DC motor, American Journal of Applied Sciences, 5(3), 227-
233, 2008.
[9] SIMULINK, Model-based and system-based design using
Simulink, Mathsworks, Inc, Natick, MA, 2000.
[10] MATLAB SIMULINK, version 2009, SimPowerSystem,
One quadrant chopper DC drive.
[11] C.U. Ogbuka, Performance characteristics of Controlled
separately excited dc motor, Pacific Journal of Science and
Technology, 10(1), 67-74.
International Journal of Applied Engineering Research, ISSN 0973-4562 Vol. 10 No.55 (2015)
© Research India Publications; httpwww.ripublication.comijaer.htm
2220

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Closed loop performance investigation

  • 1. CLOSED LOOP PERFORMANCE INVESTIGATION OF CHOPPER FED DC MOTOR USING VARIOUS CONTROLLER 1 M.Abinaya,2 P.Nedumal Pugazhenthi,3 S.Selvaperumal,4 G.Prabhakar,5 P.Gnana skandaparthiban 1 P.Gscholar,SyedAmmalEngineering College,Ramanathapuram, TN, INDIA 2 Associate Professor,syedammal Engineering college,Ramanathapuram,TN,INDIA 3 Professor, Syedammal Engineering college, Ramanathapuram,TN,INDIA 4 Assistant Professor,Syedammal Engineering college,Ramanathapuram,TN,INDIA 5 Assistant Professor,SyedAmmal Engineering college,Ramanathapuram,TN,INDIA 1 abinaya987@gmail.com,2 neduaupci@gmail.com,3 perumalvnr@gmail.com,4 gprabhakar2488@gmail.com,5 parthiban_est@gmail.com Abstract This paper analyse the study of closed loop performance investigation of chopper fed separately excited dc motor using PI controllers. Speed of separately excited DC motor can be varied below and above the rated speed by various techniques. Conventional controllers are commonly being used to control the speed of the DC motors in various industrial applications. It is to be found as a simple, robust and highly effective when the load disturbance is small. The aim of this project is to control this Speed of chopper based separately excited DC motor. The PWM pulses are generated by the chopper to control the motor speed. The duty cycle of the PWM pulse are varied by PI controller to attain the closed loop response. The chopper firing circuit receives variable PWM pulses from PI controller, to produces the variable voltage to the armature of the motor for achieving desired speed response. Keywords: separately excited DC motor,chopper,proportional integral controller(PI),proportional integral derivative(PID). I. Introduction The development of high performance motor drives is very important in industrial as well as other purpose applications such as steel rolling mills, electric trains and robotics. Generally, a high performance motor drive system must have good dynamic speed command tracking and load regulating response to perform task.DC drives are choosen because of their simplicity,easiness of application, high reliability, flexibility and less cost, this is the backbone for industrial applications, and home appliances.wherethe speed and position control of motor are required. DC drives are less complex with a single power conversion from AC to DC. Again the speed torque characteristics of DC motors are much more superior to That of AC motors. A DC motors provide excellent control of speed for acceleration and deceleration. DC motors have a long tradition of use as adjustable speed machines and a wide range of options have developed for this purpose. In these applications, the motor should be precisely controlled to give the desired performance. The controllers of the speed that are conceived for goal to control the speed of DC motor to execute one variety of tasks, is of several conventional and numeric controller types, the controllers can be: proportional integral (PI), proportional integral derivative (PID) Fuzzy Logic Controller (FLC) or the combination between them: Fuzzy-Neural Networks, Fuzzy Genetic Algorithm, Fuzzy-Ants Colony, Fuzzy-Swarm[7]. The proportional – integral – derivative (PID) controller operates the majority of the control system in the world. It has been reported that more than 95% of the controllers in the industrial process control applications are of PID type as no other controller match the simplicity, clear functionality, applicability and ease of use offered by the PID controller [3], [4]. PID controllers provide robust and reliable performance for most systems if the PID parameters are tuned properly. The major problems in applying a conventional control algorithm (PI, PD, PID) in a speed controller are the effects of non- linearity in a DC motor. The nonlinear characteristics of a DC motor such as saturation and fiction could degrade the performance of conventional controllers [1], [2]. Generally, an accurate nonlinear model of an actual DC motor is difficult to find and parameter obtained from systems identification may be only approximated values. The field of Fuzzy control has been making rapid progress in recent years. Fuzzy logic control (FLC) is one of the most successful applications of fuzzy set theory, introduced by L.A Zadeh in 1973 and applied (Mamdani 1974) in an attempt to control system that are structurally difficult to model. Since then, FLC has been an extremely active and fruitful research area with many industrial applications reported [5]. In the last three decades, FLC has evolved as an alternative or complementary to the conventional control strategies in various engineering areas. Fuzzy control theory usually provides non-linear controllers that are capable of performing different complex non-linear control action, even for uncertain nonlinear Systems. Unlike conventional control, designing a FLC does not require precise knowledge of the system model such as the poles and zeroes of the system transfer functions. Imitating the way of human learning, the tracking error and the rate change of the error are two crucial inputs for the design of such a fuzzy control system [6], [7]. II.Proposed system Armature voltage control method is used to vary the speed of separately excited DC motor below and up to the rated speed. (Fig.1) shows the block diagram of the proposed method. The system consists of buck converter type DC–DC power converter or chopper for driving the separately excited DC motor. The performance of the DC drive will be based on International Journal of Applied Engineering Research, ISSN 0973-4562 Vol. 10 No.55 (2015) © Research India Publications; httpwww.ripublication.comijaer.htm 2216
  • 2. the choice of controllers. The output speed of the motor is compared with the reference speed and the error signal is fed to speed controller. Whenever there is a difference between the reference speed and the feedback speed, the controller output will be changed. The output from the speed controller is the control voltage Ec that provides required gating signals to vary the duty cycle of the chopper circuit.The chopper output give the required armature voltage to achieve the desired speed response. . Fig1:Block diagram of proposed system. III. MODELING OF SEPARATELY EXCITED DC MOTOR Figure 2: Separately Excited DC motor The armature equation is shown below: The description for the notations used is given below: TERMINOLOGY: 1. VA is the armature voltage in volts. 2. Eg is the motor back emf in volts. 3. Ia is the armature current in amperes. 4. Ra is the armature resistance in ohms. 5. La is the armature inductance in Henry. Now the torque equation will be given by: (2) Where: TL is load torque in Nm. Td is the torque developed in Nm. J is moment of inertia in kg/m². B is friction coefficient of the motor. ω is angular velocity in rad/sec. In absence of friction in motor, it will give: Therefore, new torque equation will be: (3) By Takingthe field flux as Φ and (Back EMF Constant) Kv as K. Equation for back emf of motor will be: (4) Also, (5) After taking Laplace Transform on both sides, we will get: Now, taking equation (5) into consideration, we have: And, Also, The armature time constant is given by: Figure 3: Block Model of Separately Excited DC Motor After simplifying the motor modelFig 3, the overall transfer function will be: Further simplifying the above transfer function will get as: (6) Assuming, as time constant. Then the above transfer function can be written as below: (7) When starting of motor, load torque TL = 0 and applying full voltage Va Also assuming negligible armature inductance, the basic armature equation can be written as: At the same time Torque equation will be: (8) Placing the value of Ia in above armature equation: Dividing on both sides by KΦ, (9) -Va/KΦ is the value of motor speed under no load condition. Therefore, ω (no load)= Where, (say) And, Therefore, (10) From motor torque equation, we have: (11) International Journal of Applied Engineering Research, ISSN 0973-4562 Vol. 10 No.55 (2015) © Research India Publications; httpwww.ripublication.comijaer.htm 2217
  • 3. From equation (5.10) and (5.11), we have: Now, Replacing KΦ by Km in equation (5.7), we get: (12) Since, the armature time constant Ta is much less than the electromechanical time constant Tm (Ta<< Tm) Simplifying, The largest time constant will play major role in delaying the system when the transfer function is in time constant. By compensate the delay due to large time constant we use PI controller as speed controller. It is because the zero of the PI controller can be chosen in such a way that this large delay can be cancelled. In Control system term a time delay generallycorresponds to a lag and zero means a lead, so the PI controller will try to compensate the whole system. Hence, the equation can be written as: (13) Tm and Ta are the time constants of the above system transfer function which will determine the response of the system. Hence the dc motorcan be replaced by the transfer function obtained in equation (13) in the DC drive model shown in Fig 3. IV. HARDWARE DESCRIPTION A. FUNDAMENTAL The controller used in a closed loop provides a very easy and common technique of keeping motor speed at any desired set-point speed under changing load conditions. This controller can also be used to keep the speed at the set-point value when, the set-point is ramping up or down at a defined rate. In this closed loop speed controller, a voltage signal obtained from a Tacho-generator attached to the rotor which is proportional to the motor speed is fed back to the input where compared signal is with the set-point speed to produce an error signal. This error signal is then fed to work out what the magnitude of controller output will be to make the motor run at the desired set-point speed. For example, if the error speed is negative, this means the motor is running slow so that the controller output should be increased and vice-versa. The dc motor specification used in this hardware setup are,voltage 12V,current1A,speed14000rpm. B.OPEN LOOPCIRCUIT DIAGRAM Fig 4: Open loop circuit diagram C .OPEN LOOP OPERATION A 230v supply is provided to step down transformer to get 24v which is fed to the bridge rectifier circuit and which is converted to AC to DC.The DC 24v voltage obtained from the rectifier is fed to IC7812(+12v),this voltage regulator is used to regulate the input to 12v and given again to ic7805(+5v).this 7805 voltage regulator, here the +5v is regulated from this voltage regulated. which is used for the input voltage for 555 timer circuit, here the timer circuit is generate the gate pulse which is used to drive the motor using MOSFET.By changing the duty cycle the motor voltage is modified and getting the desired speed is obtained. D.OPEN LOOP HARDWARE SETUP Fig 5: Open Loop Hardware Model V. ANALOG PROPORTIONAL CONTROLLER CIRCUIT DIAGRAM Fig 6:Analog proportional controller circuit diagram International Journal of Applied Engineering Research, ISSN 0973-4562 Vol. 10 No.55 (2015) © Research India Publications; httpwww.ripublication.comijaer.htm 2218
  • 4. VI. COMPARATIVE ANALYSIS FOR THEORITICAL AND PRATICAL VALUES Table 1: Comparative analysis for theoreticaland practical values VII.COMPARSION OF OUTPUT VOLTAGE BETWEEN PRATICAL AND THEORITICAL VALUE Fig 7: Comparison of output voltage between theoretical value and practical values VIII. ANALOG PROPORTIONAL CONTOLLER HARDWARE MODEL Fig 8.Analog Proportional Controllerhardware Model XI.OUTPUT VOLTAGE FOR RA=3.3KΩ,RB=5KΩ ,C=0.01μF Fig9: output voltage for resistor ra=3.3kΩ, rb=5kΩ, c=0.01μf X.ANALOG CONTROLLER OPERATION In analog PI controller the inversion input voltage 230v is converted into 24v using step down transformer. The half diode bridge rectifier is used between the transformer and regulator which is used to convert 24v AC to 24v DC. In PI controller is consist of 6 operational amplifiers with specified resistor with potential transformer. The gate pulse is produced by 555 timer by using the voltage regulator 7805(+5v), and here the IC is MOSFET chosen. Gate signal is given to theMOSFET terminal the motor speed is controlled by varying the potential transformer which is connected to the PI controller. XI. CONCLUSION The speed of a dc motor has been successfully controlled by using a Chopper as a converter and Proportional-Integral type Speed and Current controller based on closedloop system model. Initially a simplified closed loop model for speed control of DC motor is considered and requirement of current controller is studied. The hardware setup is carry out in this project by varying reference speed and by varying load are also obtained. REFERENCES [1] B.J. Chalmers, “Influence of saturation in brushless permanent magnet drives.” IEE proc. B, Elect.Power Appl, vol.139, no.1, 1992. [2] C.T. Johnson and R.D. Lorenz, “Experimental identification of friction and its compensation in precise, position controlled mechanism.” IEEE Trans. Ind, Applicant, vol.28, no.6, 1992. [3] Zhang, N. Wang and S. Wang, “A developed method of tuning PID controllers with fuzzy rules for integrating process,” Proceedings of the American Control Conference, Boston, 2004, pp. 1109-1114. [4] K.H. Ang, G. Chong and Y. Li, “PID control system analysis, design and technology,” IEEE transaction on Control System Technology, Vol.13, No.4, 2005, pp. 559-576. 0 1 2 3 4 5 6 1 2 3 4 5 6 7 8 Practical value Theoritic al value Different combination of Ra,Rb,C International Journal of Applied Engineering Research, ISSN 0973-4562 Vol. 10 No.55 (2015) © Research India Publications; httpwww.ripublication.comijaer.htm 2219
  • 5. [5] H.X.Li and S.K.Tso, "Quantitative design and analysis of Fuzzy ProportionalIntegral-Derivative Control- aStep towards Auto tuning", International journal of system science, Vol.31, No.5, 2000, pp.545-553. [6] Thana Pattaradej, GuanrongChen and pitikhateSooraksa, "Design and. Implementation of Fuzzy PID Control of a bicycle robot" Integrated computer-aided engineering, Vol.9, No.4, 2002 [7] Weiming Tang, Guanrong Chen and Rongde Lu, “A Modified Fuzzy PI Controller for a Flexible-joint Robot Arm with Uncertainties”, Fuzzy Set and System, 118 (2001) 109- 119 [8] Moleykutty George., Speed Control of Separately Excited DC motor, American Journal of Applied Sciences, 5(3), 227- 233, 2008. [9] SIMULINK, Model-based and system-based design using Simulink, Mathsworks, Inc, Natick, MA, 2000. [10] MATLAB SIMULINK, version 2009, SimPowerSystem, One quadrant chopper DC drive. [11] C.U. Ogbuka, Performance characteristics of Controlled separately excited dc motor, Pacific Journal of Science and Technology, 10(1), 67-74. International Journal of Applied Engineering Research, ISSN 0973-4562 Vol. 10 No.55 (2015) © Research India Publications; httpwww.ripublication.comijaer.htm 2220