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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

    13Instructor:Shiraz Latif/ Atif Fareed/ Areeb Ahmed 1Instructor:Shiraz Latif/ Atif Fareed/ Areeb Ahmed

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    roblems

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