Control System Toolbox
Control System Toolbox lets you systematically tune control system parameters using SISO and MIMO design techniques.
PID Control Design with Control System Toolbox
Design PID controllers using Control System Toolbox.
If a linear model of the plant is not available, you can identify a plant model from measured input-output data directly in the PID Tuner app using System Identification Toolbox.
PID Controller Tuning Based on Measured Input-Output Data
Identify a plant model from measured input-output data and use this model to tune PID Controller gains.
The Control System Designer app lets you the design and analyze SISO control systems. You can:
Control System Design with Control System Tuning App
Design control systems with the Control System Tuning app.
In addition to standard model representations, such as transfer function and frequency-response data, the Control System Designer app supports systems with time delays. You can also work with several plant models simultaneously to evaluate your control design for different operating conditions.
Simulink Control Design extends Control System Toolbox by enabling you to tune controllers in Simulink that consist of several SISO loops. You can close SISO loops sequentially, visualize loop interactions, and iteratively tune each loop for best overall performance. Simulink Control Design lets you export the tuned parameters directly to Simulink for further design validation through nonlinear simulation.
When used with Simulink Design Optimization™, the Control System Designer app lets you optimize the control system parameters to enforce time-based and frequency-based performance requirements. When used with Robust Control Toolbox, the app lets you automatically shape open-loop responses using H-infinity algorithms.
Nonlinear Plant Control at Different Operating Points
Design and analyze a controller for different operating points of a nonlinear plant simultaneously.