Advanced Model Predictive Control Framework for Permanent Magnet DC Motor

This paper presents a comparative analysis between Model Predictive Control (MPC) and Proportional-Integral-Derivative (PID) control for a Permanent Magnet DC (PMDC) motor. The purpose is to evaluate both controllers' performance regarding rising time, overshoot, settling time, steady-state error, and disturbance rejection. The MPC anticipates future system behavior and optimizes control input subject to constraints, whereas PID relies on instantaneous error correction. MATLAB simulations show that MPC outperforms PID by reducing overshoot by around 82%, improved settling time by 57%, and enhanced disturbance recovery by 64%, leading to a more robust and efficient control performance.