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
|Interface for control system tuning of Simulink models|
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.