Simulink Control Design™ - MathWorks

To begin tuning the controller, open the Block Parameters dialog box for the PID controller block PI Current. Design PID Control ...

To open the PID Tuner, click Tune. The PID Tuner automatically tries to linearize the plant under consideration, but the lineari ...

In the Obtain plant model dialog box, select Importing an LTI System, and, in the table, select estsys1. Design PID Controllers ...

Click OK. To use frequency-domain requirements to tune the controller, in the Domain section, select Frequency. To examine the o ...

The Bode plot shows a block response (dashed line) and a tuned response (solid line). The block response is the open-loop respon ...

You can graphically tune the gains further by adjusting the bandwidth and phase margin to have the desired crossover frequency s ...

To update the PID Controller block with the tuned gains, click Update Block. Simulating the model with these tuned gains provide ...

Next in the Linear Analysis tool, set the simulation snapshot at 0.4 seconds, which is enough time for the plant to attain stead ...

Export this model to the MATLAB workspace to be used with the PID tuner. Tune the PI Controller for Outer Voltage Loop Set up th ...

Import the frequency data into PID tuner to allow the gains to be automatically tuned for the outer loop. You can switch the sup ...

Design PID Controllers for a Power Factor Corrector using Frequency Response Estimation Method ...

Now, with the tuned PI gains for both the controllers you should see an inductor current waveform that better conforms with the ...

Design PID Controllers for a Power Factor Corrector using Frequency Response Estimation Method ...

Design Family of PID Controllers for Multiple Operating Points This example shows how to design an array of PID controllers for ...

For more information on this system, see [1]. Introduction to Gain Scheduling A common approach to solve the nonlinear control p ...

(^2) Design a family of linear controllers, such as PID controllers, for the plant models obtained in the previous step. (^3) Im ...

Since the CSTR plant is nonlinear, the linear models display different characteristics. For example, plant models with high and ...

figure hold on for ct = 1:length(C) % Select a system from the LTI array sys = clsys(:,:,ct); sys.Name = ['C=',num2str(C(ct))]; ...

All the closed loops are stable, but the overshoots of the loops with unstable plants (C = 4 , through 7 ) are too large. To imp ...

All the closed-loop responses are now satisfactory. For comparison, examine the response when you use the same controller at all ...