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Tuning, Analysis, and Validation

Tune control system parameters and analyze results at the command line

Once your model is set up for tuning, the systune command adjusts the tunable coefficients to meet your design requirements.

Functions

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systuneTune control system parameters in Simulink using slTuner interface
systuneOptionsSet options for systune
getIOTransferTransfer function for specified I/O set using slLinearizer or slTuner interface
getLoopTransferOpen-loop transfer function at specified point using slLinearizer or slTuner interface
getSensitivitySensitivity function at specified point using slLinearizer or slTuner interface
getCompSensitivityComplementary sensitivity function at specified point using slLinearizer or slTuner interface
writeBlockValueUpdate block values in Simulink model
getTunedValueGet current value of tuned variable in slTuner interface
setTunedValueSet current value of tuned variable in slTuner interface
viewGoalView tuning goals; validate design against tuning goals
evalGoalEvaluate tuning goals for tuned control system

Topics

Analysis and Validation

  • Interpret Numeric Tuning Results
    Tuning reports from systune and Control System Tuner give you an overview of how well the tuned control system meets your tuning goals.
  • Visualize Tuning Goals
    Tuning-goal plots let you visualize your design requirements against tuned system responses, to see where and by how much tuning goals are satisfied or violated.
  • Validate Tuned Control System
    When you tune a control system, validate the results by examining system responses with the tuned parameters.
  • Validating Results
    This example shows how to interpret and validate tuning results from systune.

Tuning Workflow

Motion Control Applications

Industrial Automation Applications

Aerospace Applications