After your model is set up for tuning, Control System Tuner adjusts the tunable coefficients to meet your design requirements. A tuning report summarizes how well the tuned design satisfies your requirements.
To validate the result, examine system responses and evaluate how closely tuning goals are met. For a control system modeled in Simulink®, write the tuned parameter values to the model for validation against the full nonlinear system.
Designate tuning goals as soft requirements or hard constraints.
Tuning reports from
Control System Tuner give you an overview of how well the tuned control
system meets your 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.
When you tune a control system, validate the results by examining system responses with the tuned parameters.
Control System Tuner can generate many types of response plots in the time and frequency domains. View responses of SISO or MIMO transfer functions between inputs and outputs at any location in your model.
Use the Data Browser or the Tuned Block Editor to examine the parameters of tuned controllers in Control System Tuner.
Control System Tuner lets you compare the performance of a control system tuned with two different sets of tuning goals.
Generated scripts are useful when you want to programmatically reproduce a result you obtained interactively using Control System Tuner.
Use the Control System Tuner app to tune a MIMO, multiloop control system modeled in Simulink.
Use Control System Tuner to tune a multiloop control system modeled in Simulink.
Use Control System Tuner app to tune a passivity-based controller for a nonlinear plant modeled in Simulink.