The output of solve(eqn, x) is still an equation instead of number
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Hello,
The whole script is below:
syms G1 G2 C1 C2 K H a s
G=(a*K*G1*G2)/(s^2*C1*C2+s*(C2*(G1+G2)+C1*G2*(1-K))+G1*G2) %Transfer function
[G_num,G_den]=numden(G)
[G_den_coeffs,~]=coeffs(G_den,s)
G_num=G_num/(C1*C2)
G_den_coeffs=G_den_coeffs/(C1*C2)
G_num=poly2sym(G_num,s)
G_den=poly2sym(G_den_coeffs,s)
G=G_num/G_den
equation2=G_den_coeffs(1,3)==1
isolate(equation2,C2)
%I need to solve equation 1 for G2.
equation1=G_den_coeffs(1,2)==0.618
G1=1/6000;
C1=10^-6;
C2=10^-9;
K=100;
G2=solve(equation1,G2)
The output of G2 is still an equation not a number as needed.
The variables are defined so when I copy and paste the G2 equation I get the value.
Any idea how can I get the result of G2 without the need to copy and paste the equation.
1 个评论
Sam Chak
2023-11-6
Hi @NGiannis
It is possible to solve for , but the solution can only satisfy one of the two design requirements. . The step response is highly oscillatory, and the percentage overshoot is as high as 94%. I don't think this solution is acceptable. In my answer below, I proposed making a free parameter so that two equations can be solved simultaneously.
G1 = 1/6000;
C1 = 1e-6;
C2 = 1e-9;
K = 100;
a = 1/K;
sympref('AbbreviateOutput', false);
syms s G2
G = (a*K*G1*G2)/(s^2*C1*C2+s*(C2*(G1+G2)+C1*G2*(1-K))+G1*G2)
[G_num, G_den] = numden(G);
[G_den_coeffs, ~] = coeffs(G_den, s)
eqn1 = G_den_coeffs(2)/G_den_coeffs(1) == 0.618;
sol = solve(eqn1, G2);
s = tf('s');
G2 = double(sol)
G = (a*K*G1*G2)/(s^2*C1*C2 + s*(C2*(G1 + G2) + C1*G2*(1 - K)) + G1*G2); %Transfer function
G = minreal(G)
step(G)
% Check if it returns 1
(G1*G2)/(C1*C2)
S = stepinfo(G);
S.Overshoot
采纳的回答
Walter Roberson
2023-11-6
syms G1 G2 C1 C2 K H a s
G=(a*K*G1*G2)/(s^2*C1*C2+s*(C2*(G1+G2)+C1*G2*(1-K))+G1*G2) %Transfer function
[G_num,G_den]=numden(G)
[G_den_coeffs,~]=coeffs(G_den,s)
G_num=G_num/(C1*C2)
G_den_coeffs=G_den_coeffs/(C1*C2)
G_num=poly2sym(G_num,s)
G_den=poly2sym(G_den_coeffs,s)
G=G_num/G_den
equation2=G_den_coeffs(1,3)==1
isolate(equation2,C2)
%I need to solve equation 1 for G2.
equation1=G_den_coeffs(1,2)==0.618
G1=1/6000;
C1=10^-6;
C2=10^-9;
K=100;
G2 = solve( subs(equation1), G2)
1 个评论
Walter Roberson
2023-11-6
Consider:
C1 = 3
C2 = C1*10 + 5
C1 = 7
If you now ask for the value of C2, what value are you expecting to get? Are you expecting to get 3*10+5 or are you expecting to get 7*10+5 ? So when you assign the result of an expression to a variable, do you expect MATLAB to remember the formula and to automatically update the result of the formula each time any of the components of the formula changes?
Likewise if you
syms C1
C2 = C1*10 + 5
C1 = 7
If you now ask for the value of C2, what value are you expecting to get? Are you expecting to get 3*10+5 or are you expecting to get 7*10+5 ? Yes, C2 has a formula -- but the formula that is remembered in C2 is "[internal symbolic variable named C1]" times 10 plus 5 -- and when you update C1=7 you are not changing that "internal symbolic variable named C1" so asking to display C2 at this point will continue to know "internal symbolic variable named C1" times 10 plus 5.
更多回答(2 个)
Sam Chak
2023-11-6
Hi @NGiannis
In the comment above, if is set as constant, then the parameter appears in two terms. can be found by solving either one of the terms, but it won't satisfy both design requirements. To address this issue, I selected as a second parameter. Solving two equations simultaneously will return the solution for both and .
format long g
% Constants
C1 = 1e-6;
C2 = 1e-9;
K = 100;
out = 1; % desired output (can be 1, 100, or pi, etc.)
a = out/K; % output coefficient
sympref('AbbreviateOutput', false);
% Declare parameters G1 and G2 that defines the transfer function
syms s G1 G2
assume(G1, "positive")
assume(G2, "positive")
% The transfer function
G = (a*K*G1*G2)/(s^2*C1*C2+s*(C2*(G1+G2)+C1*G2*(1-K))+G1*G2)
[G_num, G_den] = numden(G);
[G_den_coeffs, ~] = coeffs(G_den, s)
% Solve simultaneous equations for both parameters G1 and G2
eqn1 = G_den_coeffs(2) == 0.618;
eqn2 = G_den_coeffs(3) == 1;
sol = solve([eqn1, eqn2], [G1, G2]);
G1 = double(sol.G1) % 1.02636211e-5
G2 = double(sol.G2) % 9.74315002e-11
%% if zeta = 0.618
% G1 = double(sol.G1) % 1.05869981e-5
% G2 = double(sol.G2) % 9.44554808e-11
%% Test
s = tf('s');
G = (a*K*G1*G2)/(s^2*C1*C2+s*(C2*(G1+G2)+C1*G2*(1-K))+G1*G2);
G = minreal(G) % check if design requirements are satisfied
step(G), grid on % step response
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