Code Generation

Generate code and deploy controllers on real-time targets

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, seeGenerate Code and Deploy Controller to Real-Time Targets.

Functions

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MATLABCode Generation

Linear MPC

`getCodeGenerationData`	Create data structures for`mpcmoveCodeGeneration`
`mpcmoveCodeGeneration`	Compute optimal control moves with code generation support

Nonlinear MPC

`getCodeGenerationData`	Create data structures for`nlmpcmoveCodeGeneration`
`nlmpcmoveCodeGeneration`	Compute nonlinear MPC control moves with code generation support

Generate MEX File

buildMEX Build MEX file that solves an MPC control problem

Custom QP Applications

`mpcActiveSetSolver`	Solve quadratic programming problem using active-set algorithm
`mpcActiveSetOptions`	Create default option set for`mpcActiveSetSolver`
`mpcInteriorPointSolver`	Solve a quadratic programming problem using an interior-point algorithm
`mpcInteriorPointOptions`	Create default option set for`mpcInteriorPointSolver`
`setCustomSolver`	Configures an MPC object to use the QP solver fromOptimization Toolboxas a custom solver

Blocks

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MPC Controllers

MPC Controller	装病者e model predictive controller
Adaptive MPC Controller	装病者e adaptive and time-varying model predictive controllers
Explicit MPC Controller	Explicit model predictive controller
Multiple MPC Controllers	装病者e switching between multiple implicit MPC controllers
Multiple Explicit MPC Controllers	Multiple explicit MPC controllers
Nonlinear MPC Controller	装病者e nonlinear model predictive controllers

Automated Driving

Adaptive Cruise Control System	装病者e adaptive cruise control using model predictive controller
Lane Keeping Assist System	装病者e lane-keeping assistance using adaptive model predictive controller
Path Following Control System	装病者e path-following control using adaptive model predictive controller

Topics

Code Generation Basics

Generate Code and Deploy Controller to Real-Time Targets
Model Predictive Control Toolbox™ software provides code generation functionality for controllers designed in Simulink and MATLAB.
QP Solvers
The model predictive controller QP solvers convert an MPC optimization problem to a general form quadratic programming problem.

万博1manbetxCode Generation

装病者ion and Code Generation Using Simulink Coder
装病者e your MPC controller in Simulink and generate real-time code that uses either double or single precision signals.
装病者ion and Structured Text Generation Using Simulink PLC Coder
装病者e your MPC controller in Simulink and generate structured text for programmable logic controllers.
Using MPC Controller Block Inside Function-Call and Triggered Subsystems
To ensure that an MPC controller works properly inside a Function-Call or triggered subsystem, configure theMPC Controllerblock to use inherited sample time and invoke the subsystem periodically with the same sample time defined in the MPC controller object.

MATLABCode Generation

Generate Code to Compute Optimal MPC Moves in MATLAB
Generate C code to compute manipulated variable moves for real-time applications.
Solve Custom MPC Quadratic Programming Problem and Generate Code
You can implement a custom MPC control algorithm that supports C code generation in MATLAB using the built-in QP solver,mpcqpsolver.

CUDA Code Generation

使用GPU计算MPC在MATLAB
装病者e your MPC controller in MATLAB using the GPU.
Use the GPU to Simulate an MPC Controller in Simulink
装病者e your MPC controller in Simulink using the GPU.

Using Custom Solvers

装病者e and Generate Code for MPC Controller with Custom QP Solver
Generate code for a model predictive controller that uses a custom quadratic programming solver.
Implement MPC Controllers using Embotech FORCESPRO Solvers
Use Embotech FORCESPRO Solvers with the Model Predictive Control Toolbox to solve MPC problems and deploy controllers to real-time targets.

OPC Simulation

Real-Time MPC Simulation Using OPC Client
Implement an online model predictive controller application using the OPC client supplied with the Industrial Communication Toolbox™.