FEEDCON - Lesson 10 - Classical Design in the s Domain
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Transcript of FEEDCON - Lesson 10 - Classical Design in the s Domain
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Page 1
Feedback ControlSystems Engineering
Lesson 10: Classical Design in the s-domain
Joshua NatividadFEEDCON
6 July 2007
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Objectives
Learn how to determine stability ofdynamic systems
Familiarize with Routh-Hurwitz stabilitycriterion
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References
R. S. Burns (2001), Advanced ControlEngineering , USA: Butterworth-Heinemann
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Stability of DynamicSystems
The response of a linear system to astimulus has two components:
steady-state terms which are directly related
to the input; and transient terms which are either exponential,
or oscillatory with an envelope of exponentialform
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Stability Defined
If the exponential terms decay as timeincreases, then the system is said to bestable.
If the exponential terms increase as timeincreases, then the system is said to beunstable.
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Stability Examples
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System Responses
Whichvariabledoes thestability of
the systemdependon?
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System Responses
Stability of adynamicsystemdepends uponthe sign of theexponential
index in thetime responsefunction,which involvesfinding realroots of the
characteristicequation.
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Stability and Roots of theCharacteristic Equation
The characteristic equation of asecond order system is given by
whose rootsare found from
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Response from Roots
The roots determine the response of thesystem,
Overdamping
Critical Damping
Underdamping
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Response from Roots
If the coefficient b were to be negative,then the roots would be
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Stable Response
Underdamping response, the timeresponse is given as
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Unstable Response
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Stability
If any of the roots of thecharacteristic equation
have positive real parts,then the system will be
unstable.--The statement is true even for higher ordered systems.
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Stability Criterion
Routh (1905) and Hurwitz (1875) gives amethod of indicating the presence andnumber of unstable roots, but not their
value.
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Routh-Hurwitz Criterion
If (a) is satisfied, then the necessary andsufficient condition for stability is either
b) All the Hurwitz determinants of the
polynomial are positive, or alternatively
c) All coefficients of the first column ofRouthsarray have the same sign. The
number of sign changes indicate thenumber of unstable roots.
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Hurwitz Determinants
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Routh Arrays
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Example
Check the stability of the system which hasthe following characteristic equation
Test 1: All coefficients are present andhave the same sign. Proceed to Test 2.
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Example
4th
order
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Example
3rd
order
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Example
-4
2
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Example
-4
-4
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Example
+16
--0
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Example
There are two sign changes in the columntherefore there are two roots with positivereal parts. Hence, the system is unstable.
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Stability of a Closed Loop System
The closed-loop transfer function wasdetermined to be
The zero or roots is determined from thedenominator and equated to zero to form
the characteristic equation
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Stability of a Closed-Loop System
Find the value of K1 such that the systemis unstable.
What is the transfer function?
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Stability of a Closed-Loop System
What is the transfer function?
The transfer function is
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Stability of a Closed-Loop System
The open loop gain constant is
such that the transfer function becomes
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Stability of a Closed-Loop System
Since the roots can be found from
the characteristic equation is therefore
AlternativeMethod
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Alternative Method
Start with the definition of the transferfunction
with H=1, the transfer function is writtenas
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Alternative Method
Multiply numerator and denominator with
to get
which simplifies into
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Alternative Method
Equate the denominator to zero in order toobtain the characteristic equation
BACK
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Stability of a Closed-Loop System
TheRouth Arrayis
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Stability of a Closed-Loop System
To produce a sign change in the firstcolumn,K 2(!).
SinceK= 8K1,
to make the system
just unstable,
K1
= 0.25.
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Stability of a Closed-Loop System
AtK= 2, the characteristic equation
becomes
Factorizing yields
{
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Stability of a Closed-Loop System
And the transient response is
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Special Cases of the Routh Array
Case 2: All elements in a row arezero.
If all the elements of a row is zero, replace
that row with derivatives of an auxiliarypolynomial, formed from the elements ofthe previous row.
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