Robust Controller Tuning
Achieve robust performance for uncertain or changing plants
systune command and Control System Tuner app
can tune control systems to design requirements you specify, while
taking into account system variability and model uncertainty to achieve
robust performance. You can tune controllers to maximize performance
over a range of values for the plant parameters. You can also
simultaneously tune for multiple plant models or control configurations.
For information about these different approaches to robust tuning, see
Robust Tuning Approaches.
|Tune fixed-structure control systems modeled in MATLAB|
|Interface for control system tuning of Simulink models|
|Tune control system parameters in Simulink using |
|Control System Tuner||Tune fixed-structure control systems|
Robust Tuning Basics
- Robust Tuning Approaches
The Robust Control Toolbox™ tuning tools let you tune control systems for robustness against plant variation, or to accommodate uncertainty in physical parameters.
- Interpreting Results of Robust Tuning
When you tune a control system with parameter uncertainty, the tuning results contain information about the progress of the tuning algorithm toward tuning for the worst-case parameter values.
- Model Uncertainty in Simulink for Robust Tuning
Set up a Simulink® model for robust tuning against parameter uncertainty.
- Robust Tuning of Mass-Spring-Damper System
Robustly tune a controller for an uncertain system modeled in Simulink.
- Tuning for Multiple Values of Plant Parameters
Use Control System Tuner to tune a control system when there are parameter variations in the plant.
- Fault-Tolerant Control of a Passenger Jet
Tune a controller to meet requirements in multiple operating modes of the plant.
- Build Tunable Control System Model with Uncertain Parameters
This example shows how to construct a generalized state-space (
genss) model of a control system that has both tunable and uncertain parameters.
- Robust Tuning of DC Motor Controller
Robustly tune a controller for a plant with imperfectly known parameters.
- Robust Tuning of Positioning System
Tune a motion control system while taking model uncertainty into account.
- Robust Vibration Control in Flexible Beam
Robustly tune a controller for reducing vibrations in a flexible beam.