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Transient Response First order system transient response

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Presentation on theme: "Transient Response First order system transient response"— Presentation transcript:

1 Transient Response First order system transient response
Step response specs and relationship to pole location Second order system transient response Effects of additional poles and zeros

2 Prototype first order system
1 τs Y(s) U(s) + -

3 First order system step resp
Normalized time t/t

4 Prototype first order system
No overshoot, tp=inf, Mp = 0 Yss=1, ess=0 Settling time ts = [-ln(tol)]/p Delay time td = [-ln(0.5)]/p Rise time tr = [ln(0.9) – ln(0.1)]/p All times proportional to 1/p= t Larger p means faster response

5 The error signal: e(t) = 1-y(t)=e-ptus(t)
Normalized time t/t

6 In every τ seconds, the error is reduced by 63.2%

7 We know how this responds to input
General First-order system We know how this responds to input Step response starts at y(0+)=k, final value kz/p 1/p = t is still time constant; in every t, y(t) moves 63.2% closer to final value

8 Step response by MATLAB:
>> n = [ b1 b0 ] >> d = [ 1 p ] >> step ( n , d ) Other MATLAB commands to explore: plot, hold, axis, xlabel, ylabel, title, text, gtext, semilogx, semilogy, loglog, subplot

9 Unit ramp response:

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11 Note: In step response, the steady-state tracking error = zero.

12 Unit impulse response:

13 Prototype 2nd order system:

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15

16 Can use \omega in stead of w
xi=[ ]; x=['\zeta=0.7'; '\zeta=1 '; '\zeta=2 '; '\zeta=5 '; '\zeta=10 '; '\zeta=0.1'; '\zeta=0.2'; '\zeta=0.3'; '\zeta=0.4'; '\zeta=0.5'; '\zeta=0.6']; T=0:0.01:16; figure; hold; for k=1:length(xi) n=[1]; d=[1 2*xi(k) 1]; y=step(n,d,T); plot(T,y); if xi(k)>=0.7 text(T(290),y(310),x(k,:)); else text(T(290),max(y)+0.02,x(k,:)); end grid; text(9,1.65,'G(s)=w_n^2/(s^2+2\zetaw_ns+w_n^2)') title('Unit step responses for various \zeta') xlabel('w_nt (radians)') Can use \omega in stead of w

17 annotation Create annotations including lines, arrows, text arrows, double arrows, text boxes, rectangles, and ellipses xlabel, ylabel, zlabel Add a text label to the respective axis title Add a title to a graph colorbar Add a colorbar to a graph legend Add a legend to a graph

18 For example: “help annotation” explains how to use the annotation command to add text, lines, arrows, and so on at desired positions in the graph ANNOTATION('textbox',POSITION) creates a textbox annotation at the position specified in normalized figure units by the vector POSITION ANNOTATION('line',X,Y) creates a line annotation with endpoints specified in normalized figure coordinates by the vectors X and Y ANNOTATION('arrow',X,Y) creates an arrow annotation with endpoints specified Example: ah=annotation('arrow',[.9 .5],[.9,.5],'Color','r'); th=annotation('textarrow',[.3,.6],[.7,.4],'String','ABC');

19 Unit step response: 1) Under damped, 0 < ζ < 1

20 cosq = z =-Re/|root| = cos-1(Re/|root|) = tan-1(-Re/Im) =Im d s =-Re

21

22 To find y(t) max:

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25 z=0.3:0.1:0.8; Mp=exp(-pi*z./sqrt(1-z.*z))*100 plot(z,Mp) grid; Then preference -> figure… ->powerpoint -> apply to figure Then copy figure

26

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29 For 5% tolerance Ts ~= 3/zwn

30 Delay time is not used very much
For delay time, solve y(t)=0.5 and solve for t For rise time, set y(t) = 0.1 & 0.9, solve for t This is very difficult Based on numerical simulation:

31 Useful Range Td=( z)/wn

32 Useful Range Tr=4.5(z-0.2)/wn Or about 2/wn

33 Putting all things together:
Settling time:

34 2) When ζ = 1, ωd = 0

35 The tracking error:

36 3) Over damped: ζ > 1

37

38 Transient Response Recall 1st order system step response: 2nd order:

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40 Pole location determines transient

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43 All closed-loop poles must be strictly in the left half planes
Transient dies away Dominant poles: the single real pole or the complex pole pair which contribute the most to the transient Typically have dominant pole pair (complex conjugate) Closest to jω-axis (i.e. the least negative) Slowest to die away

44 Typical design specifications
Steady-state: ess to step ≤ # % ts ≤ · · · Speed (responsiveness) tr ≤ · · · td ≤ · · · Relative stability Mp ≤ · · · %

45 These specs translate into requirements
on ζ, ωn or on closed-loop pole location : Find ranges for ζ and ωn so that all 3 are satisfied.

46 Find conditions on σ and ωd.

47 In the complex plane :

48 Constant σ : vertical lines
σ > # is half plane

49 Constant ωd : horizontal line
ωd < · · · is a band ωd > · · · is the plane excluding band

50 Constant ωn : circles ωn < · · · inside of a circle ωn > · · · outside of a circle

51 Constant ζ : φ = cos-1ζ constant
Constant ζ = ray from the origin ζ > · · · is the cone ζ < · · · is the other part

52 If more than one requirement, get the common (overlapped) area
e.g. ζ > 0.5, σ > 2, ωn > 3 gives Sometimes meeting two will also meet the third, but not always.

53

54 Try to remember these:

55 When given unit step input, the output looks like:
Example: + - When given unit step input, the output looks like: Q: estimate k and τ.

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58 Effects of additional zeros
Suppose we originally have: i.e. step response Now introduce a zero at s = -z The new step response:

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60 Effects: Increased speed, Larger overshoot, Might increase ts

61 When z < 0, the zero s = -z is > 0,
is in the right half plane. Such a zero is called a nonminimum phase zero. A system with nonminimum phase zeros is called a nonminimum phase system. Nonminimum phase zero should be avoided in design. i.e. Do not introduce such a zero in your controller.

62 Effects of additional pole
Suppose, instead of a zero, we introduce a pole at s = -p, i.e.

63 L.P.F. has smoothing effect, or
averaging effect Effects: Slower, Reduced overshoot, May increase or decrease ts


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