Stability: Methods of determining stability, Routh Hurwitz Criterion, Root Locus, Frequency Domain Analysis: Resonant Peak, Resonant frequency and Bandwidth of the second order system, Effect of adding a zero and a pole to the forward path, Nyquist Stability Criterion, Relative Stability: Gain Margin and Phase Margin, Bode Plot.
It gives how states are representing in various canonical forms and how it it is different from transfer function approach. and finally test the system controllability and observability by kalman's test
State space analysis, eign values and eign vectorsShilpa Shukla
State space analysis concept, state space model to transfer function model in first and second companion forms jordan canonical forms, Concept of eign values eign vector and its physical meaning,characteristic equation derivation is presented from the control system subject area.
It gives how states are representing in various canonical forms and how it it is different from transfer function approach. and finally test the system controllability and observability by kalman's test
State space analysis, eign values and eign vectorsShilpa Shukla
State space analysis concept, state space model to transfer function model in first and second companion forms jordan canonical forms, Concept of eign values eign vector and its physical meaning,characteristic equation derivation is presented from the control system subject area.
Chapter 7 Controls Systems Analysis and Design by the frequency response analysis . From the book (Ogata Modern Control Engineering 5th).
7-1 introduction.
7-2 Bode diagrams.
Ch2 mathematical modeling of control system Elaf A.Saeed
Chapter 2 Mathematical modeling of control system From the book (Ogata Modern Control Engineering 5th).
2-1 introduction.
2-2 transfer function and impulse response function.
2-3 automatic control systems.
Chapter 1 basic components of control systemHarish Odedra
This presentation is on basic of control engineering subject which is offered to 5th sem Mechanical Engineering Department in Gujarat Technological University.
This presentation explains about the introduction of Polar Plot, advantages and disadvantages of polar plot and also steps to draw polar plot. and also explains about how to draw polar plot with an examples. It also explains how to draw polar plot with numerous examples and stability analysis by using polar plot.
This presentation gives complete idea about definitions of stability, BIBO, Absolute and relative stability, Routh-Hurwitz Criterion, Special Cases and numerical examples.
Chapter 7 Controls Systems Analysis and Design by the frequency response analysis . From the book (Ogata Modern Control Engineering 5th).
7-1 introduction.
7-2 Bode diagrams.
Ch2 mathematical modeling of control system Elaf A.Saeed
Chapter 2 Mathematical modeling of control system From the book (Ogata Modern Control Engineering 5th).
2-1 introduction.
2-2 transfer function and impulse response function.
2-3 automatic control systems.
Chapter 1 basic components of control systemHarish Odedra
This presentation is on basic of control engineering subject which is offered to 5th sem Mechanical Engineering Department in Gujarat Technological University.
This presentation explains about the introduction of Polar Plot, advantages and disadvantages of polar plot and also steps to draw polar plot. and also explains about how to draw polar plot with an examples. It also explains how to draw polar plot with numerous examples and stability analysis by using polar plot.
This presentation gives complete idea about definitions of stability, BIBO, Absolute and relative stability, Routh-Hurwitz Criterion, Special Cases and numerical examples.
Robust Fuzzy Output Feedback Controller for Affine Nonlinear Systems via T–S ...Mostafa Shokrian Zeini
This presentation concerns the design of a robust H_∞ fuzzy output feedback controller for a class of affine nonlinear systems with disturbance via Takagi-Sugeno (T–S) fuzzy bilinear model. The parallel distributed compensation (PDC) technique is utilized to design a fuzzy controller. The stability conditions of the overall closed loop T-S fuzzy bilinear model are formulated in terms of Lyapunov function via linear matrix inequality (LMI). The control law is robustified by H_∞ sense to attenuate external disturbance. Moreover, the desired controller gains can be obtained by solving a set of LMI.
ELEG 421 Control Systems Transient and Steady State .docxtoltonkendal
ELEG 421
Control Systems
Transient and Steady State
Response Analyses
Dr. Ashraf A. Zaher
American University of Kuwait
College of Arts and Science
Department of Electrical and Computer Engineering
Layout
2
Objectives
This chapter introduces the analysis of the time response of different
control systems under different scenarios. Only first and second order
systems will be considered in details using analytical and numerical
methods. Extension to higher order systems will be developed. Both
transient and steady state responses will be evaluated. Stability analysis
will be analyzed for different kinds of feedback, while investigating the
effect of both proportional and derivative control actions on the
performance of the closed-loop system. Finally systems types and
steady state errors will be calculated for unity feedback.
Outcomes
By the end of this chapter, students will be able to:
evaluate both transient/steady state responses for control systems,
analyze the stability of closed-loop LTI systems,
investigate the effect of P and I control actions on performance, and
understand dominant dynamics of higher order systems.
Dr. Ashraf Zaher
Introduction
3
Test signals
Transient response
Steady state response
Analytical techniques, and
Numerical (simulation) techniques.
Stability (definition and analysis methods),
Relative stability, and
Effect of P/I control actions on stability and performance.
Summary of the used systems:
First order systems,
Second order systems, and
Higher order systems.
Dr. Ashraf Zaher
Test Signals
4 Dr. Ashraf Zaher
Impulse function:
Used to simulate shock inputs,
Laplace transform: 1.
Step function:
Used to simulate sudden disturbances,
Laplace transform: 1/s.
Ramp function:
Used to simulate gradually changing inputs,
Laplace transform: 1/s2.
Sinusoidal function(s):
Used to test response to a certain frequency,
Laplace transform: s/(s2+ω2) for cos(ωt) and ω/(s2+ω2) for sin(ωt).
White noise function:
Used to simulate random noise,
It is a stochastic signal that is easier to deal with in the time domain.
Total response:
C(s) = R(s)*TF(s) = Ctr(s) + Css(s) → c(t) = ctr(t) + css(t)
Fundamentals
5 Dr. Ashraf Zaher
Definitions:
Zeros (Z) of the TF
Poles (P) of the TF
Transient Response (Natural)
Steady State Response (Forced)
Total Response
Limits:
Initial values
Final values
Systems (?Zs):
First order (one P)
Second order (two Ps)
Higher order!
More:
Stability and relative stability
Steady state errors (unity feedback)
First Order Systems
6 Dr. Ashraf Zaher
TF:
T: time constant
Unit Step Response:
1
1
)(
)(
+
=
TssR
sC
)/1(
11
1
1
1
11
)(
TssTs
T
sTss
sC
+
−=
+
−=
+
=
Ttetc /1)( −−=
632.01)( 1 =−== −eTtc
T
e
Tdt
tdc Tt
t
11)( /
0
== −
=
01)0( 0 =−== etc
11)( =−=∞= −∞etc
First Order Systems.
In this chapter, let us discuss the stability analysis in the ‘s’ domain using the RouthHurwitz stability criterion. In this criterion, we require the characteristic equation to find the stability of the closed loop control systems.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
Contact with Dawood Bhai Just call on +92322-6382012 and we'll help you. We'll solve all your problems within 12 to 24 hours and with 101% guarantee and with astrology systematic. If you want to take any personal or professional advice then also you can call us on +92322-6382012 , ONLINE LOVE PROBLEM & Other all types of Daily Life Problem's.Then CALL or WHATSAPP us on +92322-6382012 and Get all these problems solutions here by Amil Baba DAWOOD BANGALI
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Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Water Industry Process Automation and Control Monthly - May 2024.pdf
BEC 26 control-systems_unit-IV
1. Control Systems
1
Department of Electronics & Communication Engineering,
Madan Mohan Malaviya University of Technology, Gorakhpur
Subject Code: BEC-26 Third Year ECE
Unit-IV
Shadab A. Siddique
Assistant Professor
2. UNIT IV
✓ Analysis of stable, unstable, critically stable and conditionally stable
✓ Relative Stability
✓ Root locations in S-plane for stable and unstable system
✓ Routh’s Stability Criterion : Different cases and conditions
✓ Statement Method
✓ Numerical Problems
✓ Root Locus
UNIT-IV Stability: Methods of determining stability, Routh Hurwitz Criterion, Root Locus,
Frequency Domain Analysis: Resonant Peak, Resonant frequency and Bandwidth of the
second order system, Effect of adding a zero and a pole to the forward path, Nyquist
Stability Criterion, Relative Stability: Gain Margin and Phase Margin, Bode Plot.
2
Shadab. A. Siddique
3. A linear time invariant system is stable if following conditions are satisfied:
➢ A bounded input is given to the system, the response of the system is bounded and
controllable.
➢ In the absence of the inputs, the output should tend to zero as time increases.
Stable System
Bounded i/p bounded o/p for
stable system
Location of roots for
stable system
3
Shadab. A. Siddique
4. ➢ A linear time invarient system comes under the class of unstable system if the system is
excited by a bounded input, response is unbounded.
➢ This means once any input is given system output goes on increasing & designer does
not have any control on it
Unstable System
Bounded i/p Unbounded o/p
for unstable system
Location of roots for
unstable system
4
Shadab. A. Siddique
5. ➢ When the input is given to a linear time invarient system, for critically stable systems
the output does not go on increasing infinitely nor does it go to zero as time increases.
➢ The output usually oscillates in a finite range or remains steady at some value.
➢ Such systems are not stable as their response does not decay to zero. Neither they are
defined as unstable because their output does not go on increasing infinitely.
Critically Stable System
Bounded i/p & o/p response for
critically stable system
Location of roots
for critically stable system
5
Shadab. A. Siddique
6. ➢ A system may be absolutely stable i.e. it may have passed the Routh stability test.
➢ As a result their response decays to zero under zero input conditions.
➢ The ratio at which these decay to zero is important to check the concept of “Relative
stability”
➢ When the poles are located far away from j axis in LHP of s-plane, the response decays
to zero much faster, as compared to the poles close to j-axis.
➢ The more the poles are located far away from j-axis the more is the system relatively
stable.
Relative Stability
Response
comparison
6
Shadab. A. Siddique
7. Relative Stability
Location of poles comparison
−
j
−j
System B
Complex conjugate
poles
System A
Complex conjugate
poles
7
Shadab. A. Siddique
9. Routh’s Stability Criterion
m m−1
C(s)
=
b0s + b1s
R(s) a0 sn
+ a1sn−1
+ ...............+ bm
+ ...............+ an
In this criterion, the coefficients of denominator are arranged in an
Array called “Routh’s Array”;
a0sn
+ a1sn−1
+ ............... + an = 0
For the transfer function;
9
Shadab. A. Siddique
10. The coefficients of sn
and sn−1
row are directly written from the given
equation.
a0 sn
+ a1 sn − 1
+ ............... + an = 0
s n
sn−1
sn−2
sn−3
a0 a2
a1 a3
a4
a5
a6
a7
b1
The Routh’s array as below; For next row i.e. sn−2
;
a1.a2 − a3a0
b1 =
a1
10
Shadab. A. Siddique
11. The coefficients of sn
and sn−1
row are directly written from the given
equation.
a0 sn
+ a1 sn − 1
+ ............... + an = 0
s n
sn−1
sn−2
sn−3
a0 a2 a4 a6
a1 a3 a5 a7
b1 b2
The Routh’s array as below; For next row i.e. sn−2
;
b1 =
a1 .a2 − a 3 a 0
a 1
a1.a4 − a0.a5
a1
b2 =
s0
11
Shadab. A. Siddique
12. s n
sn−1
sn−2
sn−3
a0 a2
a1 a3
a6
a7
b1
a4
a5
b2 b3
The Routh’s array as below;
a0 sn
+ a1 sn − 1
+ ............... + an = 0
For next row i.e. sn−2
;
b1 =
a1 .a2 − a 3 a 0
a 1
a1 .a4 − a .0 a5
b2 =
a1
a1.a6 − a0 . a7
b3 =
a1
s0
The coefficients of sn
and sn−1
row are directly written from the given
equation.
12
Shadab. A. Siddique
13. only previous two rows are used i.e. and
Now the same technique is used, for the next row i.e. sn−3row, but
s n
sn−1
sn−2
sn−3
a0 a2
a1 a3
a6
a7
a4
a5
b2 b3
b1
c1
The Routh’s array as below;
For next row i.e. sn−2
a1 .a2 − a 3 a 0
b1 =
a1
a1 .a4 − a0 . a5
b2 =
a1
a1.a6 − a0 . a7
b3 =
a1
sn−1
sn−2
For next row i.e. sn−3
b1.a3−b2a1
c1 =
b1
s0
13
Shadab. A. Siddique
14. only previous two rows are used i.e. and
Now the same technique is used, for the next row i.e. sn−3
row, but
s n
sn−1
sn−2
sn−3
s0
a0 a2
a1 a3
a6
a7
b1
c1
a4
a5
b2 b3
c2
The Routh’s array as below;
For next row i.e. sn−2
a1 .a2 − a 3 a 0
b1 =
a1
a1 .a4 − a0 . a5
b2 =
a1
a1.a6 − a0 . a7
a1
b3 =
sn−1
sn−2
For next row i.e. sn−3
b1 .a3 − b 2 a 1
b1
c1 =
c2 =
b1.a5−b3a1
b1 14
Shadab. A. Siddique
15. ➢ Each column will reduce by
one as we move down the
array.
➢ This process is obtained till
last row is obtained.
s n
sn−1
sn−2
sn−3
s0
a0 a2
a1 a3
a6
a7
b1
c1
a4
a5
b2 b3
c2
an
15
Shadab. A. Siddique
16. Routh’s Criterion
➢ The necessary & sufficient
conditions for a system to be
stable is all terms in the first
column at Routh’s Array should
have same sign
➢ There should not be any sign
change in first column.
s n
sn−1
sn−2
sn−3
s0
a0 a2
a1 a3
a6
a7
b1
c1
a4
a5
b2 b3
c2
an
Must have same sign
16
Shadab. A. Siddique
17. ➢ When there are sign changes in
the first column of Routh’s array
then the system is unstable.
➢ There are roots in RHP.
➢ The number of sign changes
equal the number of roots in
RHP.
s n
sn−1
sn−2
sn−3
s0
a6
a7
a4
a5
b2 b3
c2
an
+ a0 a2
+a1 a3
- b1
+c1
Routh’s Criterion
17
Shadab. A. Siddique
18. Example 1
s3
a0
+ 6s2
+ 12s + 8 = 0
a1 a2 a3
s 3
s2
s1
s0
1
6
b1
an
12
8
b2
a1
a1.a2−a3.a0
b1= s 3
s2
s1
s0
1
6
b1
an
12
8
b2
6
b1=
(612)−(81)
18
Shadab. A. Siddique
21. s 3
s2
s1
s0
1 12 0
6 8 0
10.67 0
8
Elements in first column are of same sign
As all elements in first column
are of same sign. Hence system
is stable
Example 1 cont……
21
Shadab. A. Siddique
26. Example 3 cont…..
Comment on stability. s5
+s4
+2s3
+2s2
+3s+5=0
s5
s4
s3
s2
s1
s0
1 2 3
1 2 5
0 −2
c1 c2
d1
an
Case I – “When the first of any row is zero and the rest
of the row is non-zero.”
26
Shadab. A. Siddique
27. Routh’s Criterion Special Cases
Case I – “When the first of any row is zero and the rest of
the row is non-zero.” Here the next row cannot be formed
as division by 0 will take place.
Method to Overcome: A method to overcome above problem is to
replace s by and complete the Routh’s test for z.
z
1
27
Shadab. A. Siddique
28. Example 3 cont…..
5 4 3 2
1 1 1 1 1
z z z z z
( ) + ( ) + 2 ( ) + 2 ( ) + 3 ( ) + 5 = 0
Replace s by (1/z)
Take L.C.M
z 5
1 + z + 2 z 2
+ 2 z 3
+ 3 z 4
+ 5 z 5
= 0
1+ z + 2z2
+ 2z3
+ 3z4
+ 5z5
=0
5z5
+ 3z4
+ 2z3
+ 2z2
+ z +1 =0
Use above characteristics equation and complete Routh’s Test
28
Shadab. A. Siddique
29. Example 3 cont…..
z4
z3
z1
z0
4
3
−
2
3
−
5 2 1
1
2
3
1
z5
1
z2
2
2
1
There are two sign changes
in first column. Hence two
roots are in RHP S-plane
and system is unstable
29
Shadab. A. Siddique
30. Example 4
Comment on stability. s4
+6s3
+11s2
+6s+10=0
s4
s3
s2
1
s
s0
b1 b2
10
0
11
6
1
6
c1
an
b1=
(611)−(16)
6
b1 = 10
b2=
(610)−(10)
6
b1 = 10
c1=
(106)−(106)
10
c1 = 0
30
Shadab. A. Siddique
31. Example 4 cont….
s4
s3
s2
s1
s0
10 10
10
0
11
6
1
6
0
an
c1=
(106)−(106)
10
c1 = 0
Case II – “When all elements in any one row is zero.”
31
Shadab. A. Siddique
32. Routh’s Criterion Special Cases
Case II – “When all elements in any one row is zero.”
Method to Overcome:
✓ Here form an auxillary equation with the help of the coefficients
of the coefficients of the row just above the row of zeros.
✓ Take the derivative of this equation and replace it’s coefficients in
the present row of zeros.
✓ Then proceed for Routh’s test.
32
Shadab. A. Siddique
33. Example 4 cont….
s4
s3
s2
s1
s0
10 10
10
0
11
6
1
6
0
an
Here s1 row breaks down.
Hence write auxiliary equation
for s2 .
A(s) =10s2
+10
(Note each term of next column
differs by degree of 2)
Take derivative of auxiliary equation
Use these for s row coefficients
d
A(s)= 20s
ds
33
Shadab. A. Siddique
34. Example 4 cont….
s4
3
s
s2
s1
s0
10 10
10
0
11
6
1
6
20
an
an =
(2010)−(100)
20
an = 10
s4
s3
s2
s1
s0
10 10
10
0
11
6
1
6
20
10
As no sign change in first
column; system is stable
34
Shadab. A. Siddique
37. Example 5 cont….
s6
s5
s4
s3
s2
s1
s0
5
9
6
1
3
2
0
4
8
6
4
0
d1
e1
an
Here s3 row breaks down.
Hence write auxiliary equation
for s4 .
A(s) = 2s4
+ 6s2
+ 4
(Note each term of next column
differs by degree of 2)
Take derivative of auxiliary equation
d
A(s) = 8s3
+ 1 2 s
ds
Use these for s3 row coefficients.
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Shadab. A. Siddique
43. Example 6 cont……
100
s2
G(s) =
+10s
H(s) =1
C(s)
=
G(s)
R(s) 1+G(s)H(s)
100
C(s)
=
100
s2
s2
+10s
R(s)
1+
+10s
100
s2
s2
s2
+10s
+10s +100
+10s
=
s2
100
+10s +100
=
Characteristics equation is the denominator of the CLTF
Characteristics equation s2
+10s+100 = 0
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Shadab. A. Siddique
44. Example 6 cont…….
s2
s1
s0
10
an
1 100
s2
+10s+100 = 0
an =
(10100)−(10)
10
an = 100
s2
s1
s0
10
1 100
As no sign change in first
column; system is stable
100
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Shadab. A. Siddique
45. Example 7
Determine the range of k for stable system. s4
+ 5s3
+ 5s2
+ 4s + k =0
s4
s3
s2
s1
s0
k
1 5 k
0
4
5
4.2
4.2
16.8−5k
k
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Shadab. A. Siddique
46. k0
16.8 − 5k
0
4.2
16.8 5k or k<
Example 7 cont……
For stability all elements of first column 1 should be positive
For s0
row
For s1
row
i.e.
and
i.e.
16.8
5
k3.36
Thus combining equations (1) and (2),
------------------------(1)
------------------------(2)
0 k 3.36
This is the range of k stable operation.
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Shadab. A. Siddique
48. Example 8 cont……
30k(k + 2) − 200k
0
2 +k
k 4.67
For stability,
k0
k+20
k−2
i.e.
and
Thus 4.67 k
This is the range of k stable operation.
i.e.
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Shadab. A. Siddique
49. Advantages of Routh’s Criterion
➢ It is a simple algebraic method to determine the stability of closed loop without solving
for roots of higher order polynomial of the characteristic equation.
➢ It is not tedious or time consuming.
➢ It progress systematically.
➢ It is frequently used to determine the conditions of absolute & relative stability of a
system.
➢ It can determine range of k for stable operation.
Disadvantages of Routh’s Criterion
➢ It is valid only for real coefficients of characteristics equation. Any coefficient that is a
complex number or contains exponential factors, the test fails.
➢ It is applicable only to the linear systems.
➢ Exact location of poles is not known.
➢ Only idea is obtained about stability. A method to stabilize the system is not suggested.
Application of Routh’s Criterion
➢ The gain is kept in terms of k and Routh’s array is solved to find k for stable
operation.
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Shadab. A. Siddique
50. ROOT LOCUS
What is Root Locus ?
✓ Root locus is a graphical representation of the closed loop poles as a system parameter is
varied.
✓ It can be used to describe qualitatively the performance of a system as various parameters are
changed.]
✓ It gives graphic representation of a system’s transient response and also stability.
✓ We can see the range of stability, instability and the conditions that cause a system to break
into oscillation.
INTRODUCTION
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Shadab. A. Siddique
54. CONSTRUCTION OF ROOT LOCUS
Rule 1: Symmetrical about real axis
Rule 2: Number of Root locus branches = Number of open loop poles and open loop zeros
Rule 3: Real axis loci
A point on real axis lies on root locus if the sum of poles and zeros to the right hand side of
that point must be odd number.
Root locus point will move on root locus path
To left of an
odd numbers
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Shadab. A. Siddique
55. Note: Starting and Ending point
The root locus starts at open loop pole with K = 0 and terminates at open loop zeros
with K = ∞
Ending
Starting
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Shadab. A. Siddique
59. Rule 6: Break Away Point
✓ It is a point on root locus where two poles meet once the two pole meet, they split i.e they
break away from real axis.
✓ Procedure to calculate Break away point:
1. Write the characteristic equation i.e 1 + G(s)H(s) = 0
2. Arrange characteristic equation in such a way that K = f(s)
3. Differentiate K w.r.t s and equate it to zero, this will give valid and invalid break away
point.
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Shadab. A. Siddique
62. Rule 7: Intersection with imaginary axis
This rule gives us point on the imaginary axis which the root locus will cut while
moving to right half of the s-plane.
Intersection of Imaginary axis can be found by using Routh-Hurwitz criterion.
Procedure to calculate Intersection with Imaginary axis:
1. Write the characteristic equation i.e 1 + G(s)H(s) = 0
2. Construct the Routh array
3. Determine K
4. Get the Auxiliary equation
5. Compute the roots of Auxiliary equation. These will be intersecting point with the
imaginary axis.
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Shadab. A. Siddique