MATLAB Implementation of Model Predictive Control with PID Cascade Control System
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Resource Overview
MATLAB routine code for Model Predictive Control and PID cascade control systems, containing complementary .m files (implementation scripts) and .mdl files (Simulink models) with algorithm explanations and key function descriptions
Detailed Documentation
This documentation presents MATLAB routine code for Model Predictive Control (MPC) and PID cascade control systems. The routine includes complementary .m and .mdl files designed to work together. The .m files contain the core implementation code featuring MPC algorithms with prediction horizon optimization and PID cascade control logic with anti-windup protection. The .mdl files provide Simulink modeling environments for system simulation and controller validation. Key functions include MPC quadratic programming solvers, PID tuning parameters, and real-time control signal generation. By utilizing these files, you can learn and practice the application of Model Predictive Control and PID cascade control systems in MATLAB, including implementation approaches for constraint handling and system integration. These routines are designed to support your learning and research in advanced control systems.
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