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design, tune, and analyze single-input, single-output (siso) feedback systems

using the app, you can interactively design and analyze single-input, single-output (siso) controllers for feedback systems modeled in simulink®. you can tune controllers using various graphical and automated tuning methods. to choose the best tuning method for your application, see .

app

design single-input, single-output (siso) controllers

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getting started


  • you can tune compensators using various graphical and automated tuning methods.

  • you can tune parameters in certain simulink blocks using simulink control design™ software.

  • 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.

design workflow

  • single loop feedback/prefilter compensator design
    tune the closed-loop performance of a single-loop system using a feedback compensator, and then tune the system response to changes in the reference signal using a prefilter.

  • to design compensators for cascaded multi-loop systems, first tune the compensator for the inner loop and then tune the outer-loop compensator.

  • some control system designer design and analysis tools support exact time delays while others use approximations of time delays.

  • to tune a controller within a custom masked subsystem, you can configure the subsystem as a tunable block.

compensator tuning


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

  • tune simulink blocks using the compensator editor dialog box in control system designer.

analysis and validation


  • analyze your control system designs using the plotting tools in control system designer.

  • examine the effects of different tuning methods or compensator structures by comparing the performance of multiple compensator designs.

  • to tune a controller for a nonlinear system, control system designer linearizes the simulink model. therefore, it is good practice to validate your tuned controller performance using the nonlinear system.
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