Lecture 2 transfer-function

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Lecture 2 transfer-function

  1. 1. Feedback Control Systems (FCS) Lecture-2 Transfer Function and stability of LTI systems Dr. Imtiaz Hussain email: imtiaz.hussain@faculty.muet.edu.pk URL :http://imtiazhussainkalwar.weebly.com/ 1
  2. 2. Transfer Function • Transfer Function is the ratio of Laplace transform of the output to the Laplace transform of the input. Considering all initial conditions to zero. u(t) If Plant u(t ) U ( S ) y(t ) y(t) and Y (S ) • Where  is the Laplace operator. 2
  3. 3. Transfer Function • Then the transfer function G(S) of the plant is given as G( S ) U(S) Y(S ) U(S ) G(S) Y(S) 3
  4. 4. Why Laplace Transform? • By use of Laplace transform we can convert many common functions into algebraic function of complex variable s. • For example  sin t s Or e at 2 2 1 s a • Where s is a complex variable (complex frequency) and is given as s j 4
  5. 5. Laplace Transform of Derivatives • Not only common function can be converted into simple algebraic expressions but calculus operations can also be converted into algebraic expressions. • For example dx(t )  sX ( S ) x(0) dt 2  d x(t ) dt 2 2 s X ( S ) x( 0) dx( 0) dt 5
  6. 6. Laplace Transform of Derivatives • In general d x(t ) n  dt n s X (S ) s n n 1 x( 0)  x n 1 ( 0) • Where x(0) is the initial condition of the system. 6
  7. 7. Example: RC Circuit • u is the input voltage applied at t=0 • y is the capacitor voltage • If the capacitor is not already charged then y(0)=0. 7
  8. 8. Laplace Transform of Integrals  x(t )dt 1 X (S ) s • The time domain integral becomes division by s in frequency domain. 8
  9. 9. Calculation of the Transfer Function • Consider the following ODE where y(t) is input of the system and x(t) is the output. • or A d 2 x(t ) dy(t ) C dt dt 2 Ax' ' (t ) dx(t ) B dt Cy ' (t ) Bx' (t ) • Taking the Laplace transform on either sides A[ s 2 X ( s ) sx( 0) x' ( 0)] C[ sY ( s ) y( 0)] B[ sX ( s ) x( 0)] 9
  10. 10. Calculation of the Transfer Function A[ s 2 X ( s ) sx( 0) x' ( 0)] C[ sY ( s ) y( 0)] B[ sX ( s ) x( 0)] • Considering Initial conditions to zero in order to find the transfer function of the system As 2 X ( s ) CsY ( s ) BsX ( s ) • Rearranging the above equation As 2 X ( s ) BsX ( s ) X ( s )[ As 2 X (s) Y (s) Bs ] Cs As 2 Bs CsY ( s ) CsY ( s ) C As B 10
  11. 11. Example 1. Find out the transfer function of the RC network shown in figure-1. Assume that the capacitor is not initially charged. Figure-1 2. u(t) and y(t) are the input and output respectively of a system defined by following ODE. Determine the Transfer Function. Assume there is no any energy stored in the system. 6u' ' (t ) 3u(t ) y(t )dt 3 y' ' ' (t ) y(t ) 11
  12. 12. Transfer Function • In general • Where x is the input of the system and y is the output of the system. 12
  13. 13. Transfer Function • When order of the denominator polynomial is greater than the numerator polynomial the transfer function is said to be ‘proper’. • Otherwise ‘improper’ 13
  14. 14. Transfer Function • Transfer function helps us to check – The stability of the system – Time domain and frequency domain characteristics of the system – Response of the system for any given input 14
  15. 15. Stability of Control System • There are several meanings of stability, in general there are two kinds of stability definitions in control system study. – Absolute Stability – Relative Stability 15
  16. 16. Stability of Control System • Roots of denominator polynomial of a transfer function are called ‘poles’. • And the roots of numerator polynomials of a transfer function are called ‘zeros’. 16
  17. 17. Stability of Control System • Poles of the system are represented by ‘x’ and zeros of the system are represented by ‘o’. • System order is always equal to number of poles of the transfer function. • Following transfer function represents nth order plant. 17
  18. 18. Stability of Control System • Poles is also defined as “it is the frequency at which system becomes infinite”. Hence the name pole where field is infinite. • And zero is the frequency at which system becomes 0. 18
  19. 19. Stability of Control System • Poles is also defined as “it is the frequency at which system becomes infinite”. • Like a magnetic pole or black hole. 19
  20. 20. Relation b/w poles and zeros and frequency response of the system • The relationship between poles and zeros and the frequency response of a system comes alive with this 3D pole-zero plot. Single pole system 20
  21. 21. Relation b/w poles and zeros and frequency response of the system • 3D pole-zero plot – System has 1 ‘zero’ and 2 ‘poles’. 21
  22. 22. Relation b/w poles and zeros and frequency response of the system 22
  23. 23. Example • Consider the Transfer function calculated in previous slides. G( s ) X (s) Y (s) C As B the denominator polynomial is As B 0 • The only pole of the system is s B A 23
  24. 24. Examples • Consider the following transfer functions. – Determine • • • • i) iii) Whether the transfer function is proper or improper Poles of the system zeros of the system Order of the system G( s ) G( s ) s 3 s( s 2) ( s 3) 2 s( s 2 10) ii) iv) G( s ) G( s ) s ( s 1)(s 2)(s 3) s 2 ( s 1) s( s 10) 24
  25. 25. Stability of Control Systems • The poles and zeros of the system are plotted in s-plane to check the stability of the system. j LHP Recall s RHP j s-plane 25
  26. 26. Stability of Control Systems • If all the poles of the system lie in left half plane the system is said to be Stable. • If any of the poles lie in right half plane the system is said to be unstable. • If pole(s) lie on imaginary axis the system is said to be marginally stable. j LHP RHP s-plane 26
  27. 27. Stability of Control Systems • For example G( s ) C , As B if A 1, B 3 and C 10 • Then the only pole of the system lie at pole 3 j LHP RHP X -3 s-plane 27
  28. 28. Examples • Consider the following transfer functions.      i) iii) Determine whether the transfer function is proper or improper Calculate the Poles and zeros of the system Determine the order of the system Draw the pole-zero map Determine the Stability of the system G( s ) G( s ) s 3 s( s 2) ( s 3) 2 s( s 2 10) ii) iv) G( s ) G( s ) s ( s 1)(s 2)(s 3) s 2 ( s 1) s( s 10) 28
  29. 29. To download this lecture visit http://imtiazhussainkalwar.weebly.com/ END OF LECTURES-2 29

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