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ee752hw1sol Ohio State EE 752
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  • Title: ee752hw1sol
  • Type: Notes
  • School: Ohio State
  • Course: EE 752
  • Term: Fall

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Homework#1 EE752 Solution 2-1 & With h0 is an equilibrium point for the system with input 0 , ( h(t ) = f (h0 , u0 ) = 0 ). Around this equilibrium point, linearize the system with respect to the first order taylor s series. f f & & h(t ) = h(t ) f (h0 , u0 ) + |u0 u (t ) + |h0 h(t ) u h V0 f 1 f |u = and |h = , substitute into equation above and apply Laplace where u 0 A0 h 0 2 A0 h0 Transform, we will obtain, h( s ) e s = . G(s) = u ( s ) A ( s + V0 ) 0 2 A0 h0 & u (t ) v(t ) The system dynamics h = A(h(t )) v(t ) is known, define u '(t ) = u (t ) v(t ) . Since we need h(t ) hd (t ) as t , the & designed dynamics could be h(t ) + h(t ) = hd (t ) , > 0 ( h(t ) hd (t ) with 0 , what if < 0 ?). A(h(t )) ( h(t ) + hd (t )) with small To achieve the designed dynamics, choose u '(t ) = 2-2 (i) = 0 (why?). (ii) 11 10.5 10 9.5 9 8.5 8 K=27 K=50 7.5 0 20 40 60 80 100 120 140 160 180 Matlab code: clear all; % Given constants A0=300; A1=12; A2=120; Tao=12; % the time delay v0=24; h_d=10; h_0=8; % Feedback gain to be designed K_min=27; % lower bound for K K_max=50; % upper bound for K % Initialize the simulation Ts=0.04; t=0:Ts:180; N=length(t); % number of simulation steps step_of_delay=Tao/Ts; % Using Euler's first order method: X(k+1)=X(k)+Ts*f(k) h_1=zeros(size(t)); % Initialize vector h for K_min case h_1(1)=h_0; h_2=zeros(size(t)); % Initialize h vector for K_max case h_2(1)=h_0; for i=2:N, if i<=step_of_delay u1=0; % control for K_min case u2=0; % control for K_max case else u1=K_min*(h_d-h_1(i-step_of_delay))+v0; % control for K_min case u2=K_max*(h_d-h_2(i-step_of_delay))+v0; % control for K_max case end h_1(i)=h_1(i-1)+Ts*(u1-(v0+20*sin(0.5*t(i-1))))/(A0+A1*h_1(i-... 1)+A2*sqrt(h_1(i-1))); h_2(i)=h_2(i-1)+Ts*(u2-(v0+20*sin(0.5*t(i-1))))/(A0+A1*h_2(i-... 1)+A2*sqrt(h_2(i-1))); end % Plot the results: figure(1) plot(t, h_1, 'b-', t, h_2, 'r--');grid on;zoom on; legend('K=27','K=50', 4); You can compare the performance of different Ks by using the code above. 2-5 P( s) . 1 + P( s )C ( s ) Because this is a linear system, the output is the superposition from the input and the disturbance. Now consider the part of the output from the disturbance. P( s) P( s) 3 yv ( s ) = v( s) = (*) [because v(t ) = sin(3t ) ]. 2 1 + P( s )C ( s ) 1 + P( s )C ( s ) s + 9 From y (t ) 0 as t , we have yv (t ) 0 as t . The transfer function between disturbance v(t ) and output y (t ) is Thus, in (*), s 2 + 9 must be eliminated from the denominator. Otherwise, after the partial expansion, we know there will always be some sinusoidal components in the output. To cancel s 2 + 9 , it is clear that the controller C ( s ) must have s 2 + 9 term in the denominator.

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Path: Ohio State >> EE >> 752 Fall, 2009

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