Once you have validated a model predictive controller in Simulink® or MATLAB®, you can generate code and deploy it for real-time control applications. For more information, see Generate Code and Deploy Controller to Real-Time Targets.
|MPC Controller||Compute MPC control law|
|Adaptive MPC Controller||Design and simulate adaptive and time-varying model predictive controllers|
|Explicit MPC Controller||Design and simulate explicit model predictive controller|
|Multiple MPC Controllers||Simulate switching between multiple implicit MPC controllers|
|Multiple Explicit MPC Controllers||Simulate switching between multiple explicit MPC controllers|
Model Predictive Control Toolbox™ software provides code generation functionality for controllers designed in Simulink and MATLAB.
The model predictive controller QP solver converts an MPC optimization problem to a general form quadratic programming problem.
Simulate your MPC controller in Simulink and generate real-time code that uses either double or single precision signals.
Simulate your MPC controller in Simulink and generate structured text for programmable logic controllers.
To ensure that an MPC controller works properly inside a Function-Call or triggered subsystem, configure the MPC Controller block to use inherited sample time and invoke the subsystem periodically with the same sample time defined in the MPC controller object.
Generate C code to compute manipulated variable moves for real-time applications.
You can implement a custom MPC control algorithm that supports C code
generation in MATLAB using the built-in QP solver,
Generate code for a model predictive controller that uses a custom quadratic programming solver.
Implement an online model predictive controller application using the OPC client supplied with the OPC Toolbox™.