To tune a Simulink model at the command-line, use the
to configure the model for tuning, specify blocks to tune, and specify
analysis points. The
slTuner interface stores a
linear approximation of the Simulink model and other information
required to tune the system. For an example, see Create and Configure slTuner Interface to Simulink Model.
Create slTuner Interface
Modify slTuner Interface
|Add block to list of tuned blocks for |
|Add signal to list of openings for |
|Add signal to list of analysis points for |
|Remove all openings from list of permanent openings in
|Remove all points from list of analysis points in |
|Remove block from list of tuned blocks in |
|Remove opening from list of permanent loop openings in |
|Remove point from list of analysis points in |
|Set parameterization of tuned block in |
|Set rate conversion settings for tuned block in |
|Set value of tuned block parameterization in |
|Update block values in Simulink model|
|Update portion of tuned lookup table|
Query slTuner Interface
|Get parameterization of tuned block in |
|Get rate conversion settings for tuned block in |
|Get current value of tuned block parameterization in |
|Get list of openings for |
|Get list of analysis points for |
|Show value of parameterizations of tunable blocks of |
- Mark Signals of Interest for Control System Analysis and Design
Analysis points allow you to access to internal signals, perform open-loop analysis, or specify requirements for controller tuning in systems modeled in either MATLAB® or Simulink.
- How Tuned Simulink Blocks Are Parameterized
Both Control System Tuner and the
slTunerinterface automatically assign predefined parameterizations to certain Simulink blocks.
- Create and Configure slTuner Interface to Simulink Model
slTunerto create an interface to a Simulink model for command-line control system tuning and analysis.
- Tune Control Systems in Simulink
At the command line, use
looptuneto automatically tune control systems modeled in Simulink.
- Approximate Nonlinear Behavior Using Array of LTI Systems
You can use linear parameter varying models to approximate the dynamics of nonlinear systems.