Simulink® Control Design™ lets you design and analyze control systems modeled in Simulink. You can automatically tune arbitrary SISO and MIMO control architectures, including PID controllers. PID autotuning can be deployed to embedded software for automatically computing PID gains in real time. You can also implement model-free extremum-seeking control and model reference adaptive control for applications where the controller must adapt to changing plant conditions.
You can find operating points and compute exact linearizations of Simulink models at various operating conditions. Simulink Control Design provides tools that let you compute simulation-based frequency responses without modifying your model.
Find steady-state operating points that meet specifications by trimming your Simulink model using the Steady State Manager.
Linearize a model at the operating point specified in the model. The model operating point consists of the model initial state values and input signals.
This example shows how to programmatically linearize a watertank Simulink Model feedback control system.
Estimate the frequency response of a Simulink model using a manually constructed sinestream input signal.
You can tune the gains of PID Controller blocks to achieve a robust design with the desired response time using PID Tuner.
Automatically tune the parameters of a PID controller. You can then fine tune the controller performance using graphical design techniques.
Assert that linear system characteristics satisfy specified bounds using a combination of Simulink Control Design and Simulink verification blocks.