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  • 7/27/2019 Lecture2 Methods of Determining Stability-rhc

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    Methods of Determining Stability

    Eng R. L. Nkumbwa

    Copperbelt University

    2010

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    Determining Stability

    For all practical purposes, there is no need to

    compute the complete system response todetermine stability.

    When the system parameters are all know the

    roots of the characteristic equation can be found

    using various methods including the AutomaticControl Systems Software (ACSYS) in

    conjunction with MATLAB Toolbox.

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    Determining Stability

    What are some of the methods for

    determining stability in control engineering?

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    Methods for Determining Stability

    RouthHurwitz Criterion this is an algebraic method

    that provides information on the absolute stability of a

    system that has as characteristic equation with constant

    coefficients. The criterion tests whether any of the roots

    of the characteristic equation lie in the right half s-plane.

    Nyquist Criterion this is a semi graphical method that

    gives information on the difference between the numberof poles and zeros of the closed loop transfer function

    that are in the right half s-plane by observing the

    behavior of the Nyquist plot of the loop transfer function.

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    Methods for Determining Stability

    Bode Diagram this is the diagram plot ofthe magnitude of the loop transfer functionG(j) H (j) in dB and the phase of G (j)

    H (j) in degrees, all verses frequency .

    The stability of the closed loop system can bedetermined by observing the behavior ofthese plots.

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    Tip Off

    It will be evident throughout this course, that

    most of the design and analysis techniqueson control systems will represent alternative

    methods of solving the same problem.

    The designer simply has to choose the bestanalytical tool, depending on the particular

    situation.

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    Tip Off

    In the course of normal system design, it is not

    merely necessary that the system be stable. It is essential that the system be sufficiently

    stable that transient disturbances will decay

    quickly enough to permit rapid recovery by the

    controlled variable. In the next sections, however, the major

    emphasis is on concepts and methods of

    determining system stability.10/3/20137 Eng. R. L. Nkumbwa @ CBU2010

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    Routh-Hurwitz Criterion

    What is RHC Analysis?

    The RouthHurwitz Criterion (RHC) representsa method of determining the location of zeros

    of a polynomial with constant real coefficients

    with respect to the left half and right half of the

    s-plane, without actually solving for the zeros.

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    Reminder

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    Output Signals Characteristic

    for Stability, Neutral & Unstable

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    Stability Condition

    A necessary and sufficient condition for a

    feedback system to be stable is that allthe poles of the system transfer function

    have negative real parts.

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    Routh-Hurwitz Criterion Background

    The stability analysis has occupied the interest ofmany engineers including Maxwell andVishnegradsky.

    In the late 1800s, A. Hurwitz and E.J. Routhindependently published a method ofinvestigating the stability of a linear system.

    The Routh-Hurwitz stability method provides ananswer to the question of stability by consideringthe characteristic equation of the system.

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    Routh-Hurwitz Criterion

    The Routh-Hurwitz criterion is based on

    ordering the coefficients of the characteristicequation:

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    Routhian Array

    Into an array as follows:

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    Routhian Rows

    The rows of the schedule are then completed

    as follows:

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    Routhian Rows

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    Hurwitz Determinants

    Where,

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    RHC Principle

    The Routh-Hurwitz criterion states that thenumber of roots of D(s) with positive real parts isequal to the number of changes in sign in thefirst column of the Routh Array.

    This criterion requires that there be no changesin sign in the first column for a stable system.

    This requirement is both necessary andsufficient.

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    Four Cases for First Column Array

    No element in the first column is zero.

    There is a zero in the first column, but otherelements of the row contain a zero in the first

    column are non-zero.

    There is a zero in the first column, the other

    elements of the row contain a zero are also zero.

    There is a zero in the first column, and the other

    elements of the row contain the zero are also

    zero, with repeated roots on the jw axis.10/3/201320 Eng. R. L. Nkumbwa @ CBU2010

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    Example: Third-Order System

    The characteristic polynomial of a third-

    order system is:

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    Example: Third-Order System

    The polynomial satisfies all the necessary

    conditions because all the coefficients existand are positive.

    Utilizing the Routh array, we have:

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    Example: Third-Order System

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    Example: Third-Order System

    Because there are two changes in sign in the

    first column, we find that two roots of D(s) liein the right- hand plane, and our prior

    knowledge is confirmed.

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    Exercise

    To illustrate this method clearly, you are

    required to do a research for each case.

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    Routh-Hurwitz Criterion Limitations

    Routh-Hurwitz Criterion is only valid, if the

    characteristic equation is algebraic with real

    coefficients. If any one of the coefficients is

    complex or if the equation is not algebraic, for

    example, containing experimental functions or

    sinusoidal functions of s, RHC simply cannot beapplied.

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    Routh-Hurwitz Criterion Limitations

    The RHC cannot be applied to any other

    stability boundaries in a complex plane, such

    as the unit circle in the z-plane, which is the

    stability boundary of discrete data systems.

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    MATLAB & ACSYS LAB

    Spend time in the lab learning MATLAB and

    ACSYS Software.

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    10/3/201330Eng. R. L. Nkumbwa @ CBU

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