ECE317 : Feedback and Control


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1 ECE317 : Feedback and Control Lecture : RouthHurwitz stability criterion Examples Dr. Richard Tymerski Dept. of Electrical and Computer Engineering Portland State University 1
2 Course roadmap Modeling Analysis Design Laplace transform Transfer function Block Diagram Linearization Models for systems electrical mechanical example system Stability Pole locations RouthHurwitz Time response Transient Steady state (error) Frequency response Bode plot Design specs Frequency domain Bode plot Compensation Design examples Matlab & PECS simulations & laboratories 2
3 Definitions of stability (review) BIBO (BoundedInputBoundedOutput) stability Any bounded input generates a bounded output. u(t) ICs=0 BIBO stable system Asymptotic stability Any ICs generates y(t) converging to zero. y(t) u(t)=0 ICs Asymp. stable system y(t) 3
4 Stability summary (review) Let si be poles of G(s). Then, G(s) is (BIBO, asymptotically) stable if Re(si)<0 for all i. marginally stable if Re(si)<=0 for all i, and simple pole for Re(si)=0 unstable if it is neither stable nor marginally stable. 4
5 RouthHurwitz criterion (review) This is for LTI systems with a polynomial denominator (without sin, cos, exponential etc.) It determines if all the roots of a polynomial lie in the open LHP (left halfplane), or equivalently, have negative real parts. It also determines the number of roots of a polynomial in the open RHP (right halfplane). It does NOT explicitly compute the roots. No proof is provided in any control textbook. 5
6 Routh array (review) From the given polynomial 6
7 Routh array (How to compute the third row) 7
8 Routh array (How to compute the fourth row) 8
9 RouthHurwitz criterion The number of roots in the open right halfplane is equal to the number of sign changes in the first column of Routh array. 9
10 Example 1 Routh array If 0 appears in the first column of a nonzero row in Routh array, replace it with a small positive number. In this case, Q has some roots in RHP. Two sign changes in the first column Two roots in RHP 10
11 Example 2 Routh array If zero row appears in Routh array, Q has roots either on the imaginary axis or in RHP. No sign changes in the first column Take derivative of an auxiliary polynomial (which is a factor of Q(s)) No roots in RHP But some roots are on imag. axis. 11
12 Example 3 Routh array Derivative of auxiliary poly. 2 (Auxiliary poly. is a factor of Q(s).) No sign changes in the first column No root in OPEN(!) RHP 12
13 Example 4 Routh array Derivative of auxiliary poly No sign changes in the first column No root in OPEN(!) RHP 13
14 Example 5 Routh array Derivative of auxiliary poly. 4 0 One sign changes in the first column One root in OPEN(!) RHP 14
15 Notes on RouthHurwitz criterion Advantages No need to explicitly compute roots of the polynomial. High order Q(s) can be handled by hand calculations. Polynomials including undetermined parameters (plant and/or controller parameters in feedback systems) can be dealt with. Root computation does not work in such cases! Disadvantage Exponential functions (delay) cannot be dealt with. Example: 15
16 Example 6 Find the range of K s.t. Q(s) has all roots in the left half plane. (Here, K is a design parameter.) Routh array No sign changes in the first column 16
17 Example 7 Design K(s) that stabilizes the closedloop system for the following cases. K(s) = K (constant, P controller) K(s) = KP+KI/s (PI (ProportionalIntegral) controller) 17
18 Characteristic equation Example 7: K(s)=K Routh array 18
19 Example 7: K(s)=KP+KI/s Characteristic equation Routh array 19
20 Example 7: Range of (KP,KI) From Routh array, CL system: unstable CL system: stable
21 Example 8 Determine the range of K that stabilize the closedloop system. 21
22 Example 8 (cont d) Black s formula 22
23 Characteristic equation Example 8 (cont d) 23
24 Routh array Example 8 (cont d) If K=35, the closedloop system is marginally stable. Output signal will oscillate with frequency corresponding to 24
25 Summary Examples for RouthHurwitz criterion Cases when zeros appear in Routh array P controller gain range for stability PI controller gain range for stability Next Frequency response 25
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