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7/28/2019 Week-8 v1 (6slides) + HW
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EL322near
Controlystems
Week-08
2ndApril 7thApril 2012
STABILITY
Instructor: Engr. Shiraz Latif/ Engr. Atif Fareed/ EngrAreeb Ahmed
Control System Design requirements,
Transient response covered in ch-04
Stability Ch-06 Steady-state errors ch-08
Stability:
Instructor:Shiraz Latif/ Atif Fareed/ Areeb Ahmed
BIBO Stability:
System is stable if
Every Bounded Input yields a Bounded Output.
the natural response approaches zero as time approaches infinity.
all poles in the left half-plane.
A system is marginally stable (stable) if the natural response neither decays nor grows but remains constant or oscillates
as t.
Closed-loop transfer function with Only imaginary axis poles of multiplicity 1 andother poles in the left half-plane.
Unstable System:
System is unstable if any Bounded Input yields a Unbounded Output.
The natural response grows without bound as t
l l l l l l l lose - loop ranser unc on w a leas one pole les n e rg a l-plane(positive real part) and/or poles of multiplicity greater than one on the imaginaryaxis
3Instructor:Shiraz Latif/ Atif Fareed/ Areeb Ahmed
A h sical s stem whose natural res onse rowswithout bound can cause damage to the system.
Time response plot shows the instability by transie
thus total response never approaches a steady state valu
Instructor:Shiraz Latif/ Atif Fareed/ Areeb Ahmed
Close loop poles LHP pure exponential decay or damped sinusoidal natural
response
Natural response decays to zero as t
System is stable
RHP ex onentiall increasin res onse +ve oles
Natural response approaches infinity to zero as t
System is unstable
Ima inar Axis oles with multi licit 1 ure sinusoidalresponse Natural response neither decay, nor grow
System is marginally stable
5Instructor:Shiraz Latif/ Atif Fareed/ Areeb Ahmed
Figure 6.1
Closed-loop polesand response:a. stable s stem;
Instructor:Shiraz Latif/ Atif Fareed/ Areeb Ahmed
b. unstable system
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Marginally stable
Note that theroots are on the
7Instructor:Shiraz Latif/ Atif Fareed/ Areeb Ahmed
Finding the stability through roots is not easy because Finding roots of higher order polynomial is difficult G(s)
Unity feedback gain ResponseC(s)=[G(s)/(1+G(s))] R(s)
Figure 6.2Common cause of problems in findingclosed-loo oles:
Routh-Hurwitz Criterion is the techni ue to find theG(s)/[1+G
a. original system;b. equivalent system
stability of a system, without finding the location of poles.Instructor:Shiraz Latif/ Atif Fareed/ Areeb Ahmed
-
A method that ields stabilit information without theneed to solve for the close-loop poles.
It tells how many poles lies in the RHP (right half
Do not provide the exact location(coordinates) ofoles.
STEPS:
1. Generate Routh table
2. Interpret Routh table tell how many poles are,
9Instructor:Shiraz Latif/ Atif Fareed/ Areeb Ahmed
Generating Routh table Generate Routh-table for the following system
# rows = O(D(s))+1,
#col = O(D(S)/2 for even order
O(D(s)+1/2 for odd order
excluding 1st col
Write s powers in every row
Fill Alternate coefficients of D(s) inst nd
Fill 3rd row by considering above 2 rows
like shown here
Fill each nth row by consider
(n-1)th row determinants
1Instructor:Shiraz Latif/ Atif Fareed/ Areeb Ahmed
No. of sign change in 1st column shows
No. of unstable roots
.
Make Routh table for
11Instructor:Shiraz Latif/ Atif Fareed/ Areeb Ahmed 1Instructor:Shiraz Latif/ Atif Fareed/ Areeb Ahmed
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-
different way
st
Prob: Division by zero
Two Solutions:
replace zero by a very small value
Coefficient reversal
Make a polynomial of row above the row of zero
Derivate and get the new coefficients
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roblems
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