Hi @ABTJ
The PID Tuner app assists designers in automatically tuning the PID control gains for a SISO plant to achieve a balance between the desired performance and disturbance rejection in the default settings.
The top value in the highlighted fields represents the Response Time parameter, while the bottom value represents the Transient Behavior parameter. These values are adjusted using the Response Time and Transient Behavior sliders. Increasing the Response Time parameter will result in a faster closed-loop response, while decreasing it will slow down the response. The Transient Behavior slider affects how the controller responds to disturbances or plant uncertainties.
The PID Tuner app is available to help both experts and beginners with their work, eliminating the need for manual calculations. If you wish to study the effects of manually tuning one control gain at a time, you can utilize the 'pid()' command.
% Plant
Gp = tf(1, [1 1 1])
% Control parameters
Kp = [0.5 1.0 2.0]; % <-- test different values of Kp
Ki = 1; % <-- Ki unchanged
Kd = 1; % <-- Kd unchanged
Tf = 1; % <-- Tf unchanged
for j = 1:numel(Kp)
% PID Controller
Gc = pid(Kp(j), Ki, Kd, Tf);
Gcl = feedback(series(Gc, Gp), 1);
step(Gcl), hold on
end
hold off, grid on
legend('Kp = 0.5', 'Kp = 1.0', 'Kp = 2.0', 'location', 'East')
