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Lecture Fundamentals of control systems: Chapter 4 - TS. Huỳnh Thái Hoàng

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Lecture "Fundamentals of control systems - Chapter 4: System stability analysis system stability analysis" presentation of content: Stability concept, algebraic stability criteria, root locus method, frequency response analysis.

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Nội dung Text: Lecture Fundamentals of control systems: Chapter 4 - TS. Huỳnh Thái Hoàng

  1. Lecture Notes Introduction of Control Systems Instructor: Assoc. Prof. Dr. Huynh Thai Hoang Department of Automatic Control Faculty of Electrical & Electronics Engineering Ho Chi Minh City University of Technology Email: hthoang@hcmut.edu.vn huynhthaihoang@yahoo.com Homepage: www4.hcmut.edu.vn/~hthoang/ 6 December 2013 © H. T. Hoang - www4.hcmut.edu.vn/~hthoang/ 1
  2. Chapter 4 SYSTEM STABILITY ANALYSIS 6 December 2013 © H. T. Hoàng - ÐHBK TPHCM 2
  3. Content  Stability concept  Algebraic stability criteria  Necessary y condition  Routh’s criterion  Hurwitz’s criterion  Root locus method  Root locus definition  Rules R l for f drawing d i root locil i  Stability analysis using root locus  Frequency response analysis  Bode criterion  Nyquist Nyquist’ss stability criterion 6 December 2013 © H. T. Hoàng - ÐHBK TPHCM 3
  4. Stability concept 6 December 2013 © H. T. Hoàng - www4.hcmut.edu.vn/~hthoang/ 4
  5. BIBO stability  A system is defined to be BIBO stable if every bounded input to the system results in a bounded output over the time interval [t0,+∞) for all initial times t0. u(t) y(t) System y(t) y(t) y(t) Stable system System at Unstable stability boundary system 6 December 2013 © H. T. Hoàng - www4.hcmut.edu.vn/~hthoang/ 5
  6. Poles and zeros  C Consider id a system t d described ib d by b the th transfer t f function f ti (TF): (TF) Y ( s ) b0 s m  b1s m 1    bm 1s  bm G(s)   U ( s ) a0 s n  a1s n 1    an 1s  an  Denote: A( s )  a0 s n  a1s n1    an1s  an ((TF’s denominator)) B ( s )  b0 s m  b1s m1    bm1s  bm (TF’ numerator)  Poles: P l are theh roots off the h denominator d i off the h transfer f function, i.e. the roots of the equation A(s) = 0. Since A(s) is of order n,, the system y has n ppoles denoted as pi , i =1,2,…n. , ,  Zeros: are the roots of the numerator of the transfer function, i.e. the roots of the equation B(s) = 0. Since B(s) is of order m, the system has m zeros denoted as zi, i =1,2,…m. 6 December 2013 © H. T. Hoàng - www4.hcmut.edu.vn/~hthoang/ 6
  7. Pole – zero plot  Pole – zero plot is a graph which represents the position of poles and zeros in the complex s-plane. Pole Zero 6 December 2013 © H. T. Hoàng - www4.hcmut.edu.vn/~hthoang/ 7
  8. Stability analysis in the complex plane  The stability of a system depends on the location of its poles.  If all the poles of the system lie in the left-half s-plane then the system t i stable. is t bl  If any of the poles of the system lie in the right-half s-plane then the system is unstable. unstable  If some of the poles of the system lie in the imaginary axis and the others lie in the left left-half half ss-plane plane then the system is at the stability boundary. 6 December 2013 © H. T. Hoàng - www4.hcmut.edu.vn/~hthoang/ 8
  9. Characteristic equation  Characteristic Ch t i ti equation: ti i the is th equation ti A(s) A( ) = 0  Characteristic polynomial: is the denominator A(s)  Note: Feedback systems Systems described R(s) Y(s) by state equations +_ G(s)  x (t )  Ax(t )  Bu (t )  H(s)  y (t )  Cx(t ) Characteristic equation Characteristic equation 1  G(s) H (s)  0 det sI  A  0 6 December 2013 © H. T. Hoàng - www4.hcmut.edu.vn/~hthoang/ 9
  10. Algebraic stability criteria 6 December 2013 © H. T. Hoàng - www4.hcmut.edu.vn/~hthoang/ 10
  11. Necessary condition  The necessary condition Th diti f a linear for li system t t be to b stable t bl is i that all the coefficients of the characteristic equation of the system must be positive.  Example: Consider the systems which have the characteristic equations: s 3  3s 2  2 s  1  0 Unstable s 4  2 s 2  5s  3  0 Unstable s 4  4 s 3  5s 2  2 s  1  0 Cannot conclude about the stability 6 December 2013 © H. T. Hoàng - www4.hcmut.edu.vn/~hthoang/ 11
  12. Routh’s stability criterion Rules for forming the Routh table  Consider a linear system whose characteristic function is: a0 s n  a1s n1    an1s  an  0  To analyze the system stability using Routh’s criterion, it is necessary to form the Routh table according to the rules:  The Routh table has n+1 rows.  The 1st row consists of the even-indexed coefficients.  The 2nd row consists of the odd-indexed coefficients.  The element at row ith column jth (i  3) is calculated as: cij  ci 2, j 1   i .ci 1, j 1 ci 2,1 with ith i  ci 1,1 6 December 2013 © H. T. Hoàng - www4.hcmut.edu.vn/~hthoang/ 12
  13. Routh’s stability criterion Routh table cij  ci 2, j 1   i .ci 1, j 1 ci 2,1 i  ci 1,1 6 December 2013 © H. T. Hoàng - www4.hcmut.edu.vn/~hthoang/ 13
  14. Routh’s stability criterion Routh’s Routh s criterion statement  The necessary and sufficient condition for a system to be stable is that all the coefficients of the characteristic equation are positive and all terms in the first column of the Routh table have positive signs.  The number of sign changes in the first column of the Routh table is equal the number of roots lying in the right-half s- plane. plane 6 December 2013 © H. T. Hoàng - www4.hcmut.edu.vn/~hthoang/ 14
  15. Routh’s stability criterion – Example 1  Analyze the stability of the system which have the following characteristic equation: s 4  4 s 3  5s 2  2 s  1  0  Solution: Routh table  Conclusion: The system is stable because all the terms in the first column are positive. 6 December 2013 © H. T. Hoàng - www4.hcmut.edu.vn/~hthoang/ 15
  16. Routh’s stability criterion – Example 2  Analyze the system described by the following block diagram: R(s) Y(s) 50 +_ _ G(s) ( ) G ( s)  s ( s  3)( s 2  s  5) 1 H (s)  H(s) ( ) s2  Solution: The characteristic equation of the system: 1  G ( s ).H ( s )  0 50 1  1 . 0 s ( s  3)( s  s  5) ( s  2) 2  s ( s  3)( s 2  s  5)( s  2)  50  0  s 5  6 s 4  16 s 3  31s 2  30 s  50  0 6 December 2013 © H. T. Hoàng - www4.hcmut.edu.vn/~hthoang/ 16
  17. Routh’s stability criterion – Example 2 (cont’)  Routh table  Conclusion: The system is unstable because the terms in the g their signs first column change g two times. The characteristic equation has two roots with positive real parts. 6 December 2013 © H. T. Hoàng - www4.hcmut.edu.vn/~hthoang/ 17
  18. Routh’s stability criterion – Example 3  Find the condition of K for the following system to be stable. stable R(s) ( ) Y(s) ( ) + G( ) G(s) K G(s)  s ( s 2  s  1)( s  2)  Solution: The characteristic equation q of the system y is: 1  G(s)  0 K  1 0 s ( s  s  1)( s  2) 2  s 4  3s 3  3s 2  2 s  K  0 6 December 2013 © H. T. Hoàng - www4.hcmut.edu.vn/~hthoang/ 18
  19. Routh’s stability criterion – Example 3 (cont’)  Routh table  The necessary & sufficient condition for the system to be stable:  9 2 K 0 14  7  0K   K  0 9 6 December 2013 © H. T. Hoàng - www4.hcmut.edu.vn/~hthoang/ 19
  20. Routh’s stability criterion – Special case #1  If a first-column term in any row is zero, but the remaining terms in that row are not zero or there is no remaining term, then the zero term is replaced p byy a veryy small p positive number  and the rest rows of the Routh table is calculated as the normal case. 6 December 2013 © H. T. Hoàng - www4.hcmut.edu.vn/~hthoang/ 20
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