Model Predictive Control (MPC) for Permanent Magnet Synchronous Motor (PMSM) speed regulation implemented in MATLAB is a sophisticated method for achieving precise and efficient motor control. Using MPC, the system predicts future motor behavior based on current and past states, allowing for proactive adjustments to control inputs. In MATLAB, this involves formulating a predictive model of the PMSM dynamics and optimizing control actions to achieve desired speed trajectories while considering constraints on inputs and outputs. By iteratively solving optimization problems within a specified prediction horizon, MPC continuously adjusts control signals, ensuring optimal performance and robustness against disturbances. The implementation of MPC for PMSM speed control in MATLAB offers a flexible and powerful framework for achieving superior motor performance in various industrial and automotive applications.