Simulink Control Design

Linearize models and design control systems

Simulink Control Design™ lets you design and analyze control systems modeled in Simulink^®. You can automatically tune arbitrary SISO and MIMO control architectures, including PID controllers. PID autotuning can be deployed to embedded software for automatically computing PID gains in real time. You can also implement model-free extremum-seeking control and model reference adaptive control for applications where the controller must adapt to changing plant conditions.

You can find operating points and compute exact linearizations of Simulink models at various operating conditions. Simulink Control Design provides tools that let you compute simulation-based frequency responses without modifying your model.

What Is Simulink Control Design?

PID Tuner app showing gain tuning in time domain.

PID Control

Automatically tune PID controllers in a Simulink model using the PID Tuner app. Generate C code to implement the PID tuning algorithm in embedded software using the Closed-Loop PID Autotuner block.

Documentation | Examples

Simulink model and Control System Designer app showing bode plots.

Classical Control Design

Tune SISO control loops directly in Simulink using graphical and automated tuning tools with the Control System Designer app.

Documentation | Examples

Control System Tuner app showing achieved stability margin plots.

Multiloop, Multiobjective Tuning

Automatically tune arbitrary SISO and MIMO decentralized control structures modeled in Simulink to satisfy time and frequency domain design requirements using the Control System Tuner app.

Documentation | Examples

Simulink model and plots showing tuned gain surfaces.

Gain Scheduling

Automatically tune gain-scheduled controllers for nonlinear or time-varying plants to meet performance requirements throughout the system’s operating envelope.

Documentation | Examples

Simulink model and plots showing model reference adaptive control to track pilot roll commands.

Learning-Based Control

Implement data-driven, learning-based control techniques with Simulink blocks for extremum seeking control and model reference adaptive control.

Documentation | Examples

Frequency Response Estimation

Estimate and examine frequency domain characteristics of Simulink models. Deploy an embedded estimation algorithm as a standalone application for real-time estimation of a physical plant.

Documentation | Examples

Model Linearizer app showing trimming specifications for a Simulink model.

Operating Points

Find the operating points of your Simulink model using specifications or simulation times. Use the Steady State Manager app to interactively trim the model from state, input, and output specifications.

Documentation | Examples

Model Linearizer app showing plots of frequency responses of Simulink models with varying parameters.

Linearization

Linearize continuous, discrete, and multirate Simulink models using the Model Linearizer app. Identify and fix common linearization issues using LinearizationAdvisor.

Documentation | Examples

Product Resources:

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