Transient Response Stability
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Transcript of Transient Response Stability
Transient response stability
System is analyzed for its:
The transient response
Steady state response
Stability
Concept of stability• Stability is the most important system
specification.• Many physical systems are inherently open-loop
unstable. Feedback control is introduced by engineer to stabilize the unstable plant
‘For open-loop stable plant, we still need feedback to adjust performance to meet the design specification.
What is stability ?
Example
Tacoma Narrows Bridge (a) as oscillation begins (b) at catastrophic failure.
Example
The M2 robot is more energy-efficient but less stable than many other designs that are well-balanced but consume much more power.
Stability• Stability is the most important system
specification.
• If the system is unstable, transient response and steady state errors are moot points. An unstable system can not be designed for a specific transient response or steady state error requirement
Stable and unstable system response • Stable state: A linear , time invariant system is stable if
the natural response approaches zero as time
approaches infinity.
• Unstable: A linear , time invariant system is unstable if the natural response approaches infinity as time approaches infinity.
• Critically stable: If the natural response neither decays nor grows but remains constant or oscillates.
A system is stable if every bounded yields a bounded output
This statement the bounded input-Bounded output (BIBO) defination of stability
Test for stability
1.Preliminary test: Check the roots of the characteristic equation to lie on the left half of s-plane.
2. Routh-Hurwitz criterion
Preliminary test
By pole configuration
Stable system-In terms of pole configuration
• Stable :A linear system stable , if all poles of its transfer function lie in the left-half plane
Unstable system-In terms of pole configuration
• Instability A linear system is only unstable, if at least one pole of its transfer function lies in the right-half plane, or, if at least one multiple pole (multiplicity ) is on the imaginary axis of the plane
Marginally stable system-In terms of pole configuration
• Marginally stable A linear system is critically stable, if at least one single pole exists on the imaginary axis, no pole of the transfer function lies in the right-half plane, and in addition no multiple poles lie on the imaginary axis
•
All cases
The concept of stability
• Pole location and stability
Routh-HurwitzStability Criterion
The Routh-HurwitzStability Criterion
• The Routh-Hurwitz stability criterion provides a method to examine the system stability without the need to solve for poles of a system.
• Using Routh-Hurwitz Criterion one can find how many poles are in the left half-plane,right half-plane, and on the imaginary axis.
• However, using this method, one cannot find
the exact coordinates of the poles.
The Routh-HurwitzStability Criterion
• The method requires two steps:
• - Generate data table called as Routh table
• - Interpret the data table to find how many poles are in the right half-plane of the complex plane
The Routh-Hurwitzstability Criterion
• The closed loop gain/Transfer function
P
Z
s
sN
sHsG
sG
sR
sYsT
)(
)(
)()(1
)(
)(
)()(
• N(s) is the numerator, its roots are called as zeros• (s) (or G(s)) is the denominator or characteristic equation, its roots are called as poles.
• The characteristic function in the Laplace variable is writtenas:
013
21
1)( asasasasasD nn
nn
nn
Routh Table• Consider the characteristic equation
013
21
1)( asasasasasD nn
nn
nn
Create Routh Table• Consider closed loop system with transfer
function
01
12
23
34
4
)(
asasasasa
sN
Initial Routh Table
s4 a4 a2 a0
S3 a3 a1 0
s2 b1 b2
s1 c1 c2
s0 d1
00
To find other terms Routh Table
•
From the Routh’s criterion
• If all the elements of the first –column of the Routh’s array are of the same sign, the roots of the polynomial are all in the left half of the s-plane. The system is stable.
• If there are changes of sign in the first column, the number of sign changes indicates the number of roots with positive real part, i.e. the number of roots that lie on the right half of the s-plane. The system is unstable
Example: D(s) = s3 + 2s2 + 4s + 3
• Initial Routh table
Calculate the other coefficients
All the elements of the 1st columnAre of the same sign, Hence all roots lie on the left half of s plane.System is said to be stable.
Example: D(s) = s4 + 5s3+5s2 + 10s + 12
• The Routh’s array
The 1st column has two sign changes and so there are two roots of the characteristic Equation that lie on the right half of the s-plane. The system is said to be unstable.
Example:
Two sign change=2 poles on right half Plane, systemunstable
Exercise 1: Test the stability of the closed-loop system
•
Routh’s array
• Take the common factor
The 1st column is
The two sign changes,poles on right half of s-planeUnstable system
Special case.
•A zero element in the first column
A zero element in the first column• If 1st element of the column is zero, replce with null
element with small positive number epsilon( ) and proceed with the construction of the array
Equation
0522)( 234 sssssP
5
0/)52(
05)0(
021
521
0
1
2
3
4
s
s
s
s
s
Now assume, Epsilon = -ve ,means there are two sign changes-s3-s2 &s2-s1,so unstableepsilon = +ve=If it is 1 & 2 , there two sign changes =+ve =if it is > 2, it becomes stable
Epsilon = -ve, 2 sign changes , unstableEpsilon = -ve, check what value the column does changes sign=unstable
ExampleExample
Example• Routh’s arrayS4 1 11 K 0S3 6 6 0s2 60-6/6= 10 6k-0/6=k 0S1 60-6k/10 0S0 [(60-6k)/10]*K/((60-6k)/10)=k
To make system stable,1st column should not have any sign changeIf K=0,Last row S0=0If K=10, s1 row =0IfK>0 and K<10 , system is stableIf K=-ve, unstable.
SoFor the system to be stable, 0<K<10
From this lesson you learn
• Stability
• Stable system-In terms of pole configuration
• Stability-Routh’s Criterion
Any Question ?
Steady state error
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