Choosing an Automated Tuning Approach

You can tune control systems at the MATLAB^® command line or using the Control System Tuner app.

Control System Tuner provides an interactive graphical interface for specifying your tuning goals and validating the performance of the tuned control system.

Use Control System Tuner to tune control systems consisting of any number of feedback loops, with tunable components having any structure (such as PID, gain block, or state-space). You can represent your control architecture in MATLAB as a tunable generalized state-space (genss) model. If you have Simulink^® Control Design™ software, you can tune a control system represented by a Simulink model. Use the graphical interface to configure your tuning goals, examine response plots, and validate your controller design.

The systune command can perform all the same tuning tasks as Control System Tuner. Tuning at the command line allows you to write scripts for repeated tuning tasks. systune also provides advanced techniques such as tuning a controller for multiple plants, or designing gain-scheduled controllers. To use the command-line tuning tools, you can represent your control architecture in MATLAB as a tunable generalized state-space (genss) model. If you have Simulink Control Design software, you can tune a control system represented by a Simulink model using an slTuner interface. Use the TuningGoal requirement objects to configure your tuning goals. Analysis commands such as getIOTransfer and viewGoal let you examine and validate the performance of your tuned system.