Simulink Control Design

MAJOR UPDATE

 

Simulink Control Design

Linearize models and design control systems

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.

Classical Control Design

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

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.

Gain Scheduling

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

Learning-Based Control

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

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.

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.

Linearization

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

"MathWorks tools helped us to simplify our design process by providing an integrated environment for creating the innovative technical features that our customers demand."

Laurence Lane, Haldex

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