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 active disturbance rejection control, extremum-seeking control, and model reference adaptive control algorithms for applications where the controller must adapt to changing plant and disturbance dynamics.

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?

Discover the latest features in the release notes

PID Controller Tuning

Automatically tune PID controllers in a Simulink model using the PID Tuner app. Deploy and run the PID tuning algorithm on your embedded hardware by generating C code for the Closed-Loop PID Autotuner block.

Documentation | Examples

Classical Control Design

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

Documentation | Examples

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

Gain Scheduling

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

Documentation | Examples

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

Data-Driven Control

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

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 your 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 the LinearizationAdvisor object.

Documentation | Examples

Frequency Response Estimation

Estimate frequency responses and examine frequency domain characteristics of Simulink models using input-output data. Deploy your estimation algorithm as an embedded application for real-time estimation of a physical plant.

Documentation | Examples

Reference Applications

Use reference application examples for flight control, power electronics, robotics, and other applications to design and analyze controllers for systems modeled in Simulink.

Documentation | Examples

Product Resources:

Documentation Examples Videos Technical articles Functions Requirements Release notes

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