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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 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.

教程


  • find steady-state operating points that meet specifications by trimming your simulink model using the steady state manager app.

  • linearize simulink model at model operating point

    linearize a model at its operating point consisting of initial state values and input signals.


  • 此示例说明如何以编程方式线性化 simulink 模型 watertank 反馈控制系统。此示例中，您可获得在水箱水位处于稳态的工作点处线性化的水箱系统开环模型。


  • estimate the frequency response of a simulink model using a manually constructed sinestream input signal.

  • simulink 中的 pid 控制器调节

    您可以使用 pid 调节器调节 pid controller 模块的增益，以实现具有所需响应时间的稳健设计。


  • automatically tune the parameters of a pid controller. you can then fine tune the controller performance using graphical design techniques.


  • assert that linear system characteristics satisfy specified bounds using a combination of simulink control design and simulink verification blocks.

交互式学习


free, self-paced, interactive simulink control design course

视频


walk through everyday examples that explore the fundamentals of open-loop and feedback control systems.

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