Daily Life of Engineering Student, catatan kali ini tentang root locus MATLAB.
Berikut ini adalah script MATLAB untuk plot root locus.
clear all, close all, clc;
%% Transfer function
num = 1;
den = [1 4 3];
sys = tf(num,den);
% the plant
Kp = 100;
Ki = 50;
Kd = 25;
PID = tf([Kd Kp Ki],[1 0]);
% PID controller
%% Closed-loop system
CL = feedback(PID*sys,1);
% Closed-loop system
t = 0:0.01:5;
% time interval
figure(1)
step(sys);
hold on;
step(CL,t);
legend('Initial plant','Closed-loop system');
stepinfo(CL)
% plot the step response in get the information
%
% RiseTime: 0.0883
% SettlingTime: 0.1625
% SettlingMin: 0.9038
% SettlingMax: 0.9938
% Overshoot: 0
% Undershoot: 0
% Peak: 0.9938
% PeakTime: 0.2934
[R,K] = rlocus(CL);
% R complex root locations for the gains K
figure(2)
rlocusplot(CL)
pole(CL)
% root locus plot
%
% -24.9525
% -3.4701
% -0.5775
%% Transfer function
num = 1;
den = [1 4 3];
sys = tf(num,den);
% the plant
Kp = 100;
Ki = 50;
Kd = 25;
PID = tf([Kd Kp Ki],[1 0]);
% PID controller
%% Closed-loop system
CL = feedback(PID*sys,1);
% Closed-loop system
t = 0:0.01:5;
% time interval
figure(1)
step(sys);
hold on;
step(CL,t);
legend('Initial plant','Closed-loop system');
stepinfo(CL)
% plot the step response in get the information
%
% RiseTime: 0.0883
% SettlingTime: 0.1625
% SettlingMin: 0.9038
% SettlingMax: 0.9938
% Overshoot: 0
% Undershoot: 0
% Peak: 0.9938
% PeakTime: 0.2934
[R,K] = rlocus(CL);
% R complex root locations for the gains K
figure(2)
rlocusplot(CL)
pole(CL)
% root locus plot
%
% -24.9525
% -3.4701
% -0.5775
Berikut adalah plot root locus dan step response.
Lihat juga tentang.
Kendali state space MATLAB.
- State space controlability and observability.
- State space to transfer function.
- Pole-placement.
- Linear-Quadratic Regulator.
- Bode plot diagram state space.