Main Content

Validate the Controller Design

To validate the hinfstruct control design, analyze the tuned output models described in Interpret the Outputs of hinfstruct. Use these tuned models to examine the performance of the tuned system.

Validating the Design in MATLAB

This example shows how to obtain the closed-loop step response of a system tuned with hinfstruct in MATLAB®.

You can use the tuned versions of the tunable components of your system to build closed-loop or open-loop numeric LTI models of the tuned control system. You can then analyze open-loop or closed-loop performance using other Control System Toolbox™ tools.

In this example, create and analyze a closed-loop model of the HDA system tuned in Tune the Controller Parameters. To do so, use getIOTransfer to extract from the tuned control system the transfer function between the step input and the measured output.

Try = getIOTransfer(T,'r','y');

Figure contains an axes object. The axes object with title From: r To: y contains an object of type line. This object represents Try.

Validating the Design in Simulink

This example shows how to write tuned values to your Simulink® model for validation.

The slTuner interface linearizes your Simulink model. As a best practice, validate the tuned parameters in your nonlinear model. You can use the slTuner interface to do so.

In this example, write tuned parameters to the rct_diskdrive system tuned in Tune the Controller Parameters.

Make a copy of the slTuner description of the control system, to preserve the original parameter values. Then propagate the tuned parameter values to the copy.

ST = copy(ST0);

This command writes the parameter values from the tuned, weighted closed-loop model T to the corresponding parameters in the interface ST.

You can examine the closed-loop responses of the linearized version of the control system represented by ST. For example:

Try = getIOTransfer(ST,'r','y');

Since hinfstruct tunes a linearized version of your system, you should also validate the tuned controller in the full nonlinear Simulink model. To do so, write the parameter values from the slTuner interface to the Simulink model.


You can now simulate the model using the tuned parameter values to validate the controller design.

Related Topics