After your model is set up for tuning, the
adjusts the tunable coefficients to meet your design 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. For more information, see Validate Tuned Control System.
|Tune control system parameters in Simulink using slTuner interface|
|Set options for systune|
|Transfer function for specified I/O set using slLinearizer or slTuner interface|
|Open-loop transfer function at specified point using slLinearizer or slTuner interface|
|Sensitivity function at specified point using slLinearizer or slTuner interface|
|Complementary sensitivity function at specified point using slLinearizer or slTuner interface|
|Update block values in Simulink model|
|Tune fixed-structure control systems modeled in MATLAB|
|Set options for systune|
|Closed-loop transfer function from generalized model of control system|
|Open-loop transfer function of control system|
|Sensitivity function from generalized model of control system|
|Complementary sensitivity function from generalized model of control system|
After building a tunable control system model and
specifying tuning goals, use
systune to tune
the parameters of your system.
Jointly tune the inner and outer loops of a cascade
If you have the Parallel Computing Toolbox™ software installed, you can speed up the tuning of fixed-structure control systems.
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.
Analyze responses of a tuned control system by using
related functions to compute responses between various points in the
This example shows how to interpret and validate tuning results from
Explore trade-offs between setpoint tracking and disturbance
rejection when tuning PID controllers with
Tune a high-performance digital controller with bandwidth close to the sampling frequency.
systune to design and tune a MIMO controller for a
Diesel engine. The controller is tuned in discrete time for a single operating
systune to control seismic vibrations in a three-story
systune to tune a passivity-based controller for reducing
vibrations in a flexible beam.
Use a passive control system to mitigate communication delays.
systune to tune a
multi-loop controller for a rotorcraft.
systune to tune the
standard configuration of a longitudinal autopilot.
Achieve reliable control of a passenger jet by tuning a controller for multiple operating modes of the plant.