PMSM Vector Control Based on Model Reference Adaptive Space Vector Modulation

This paper presents a vector control method for Permanent Magnet Synchronous Motors (PMSM) based on Model Reference Adaptive System (MRAS) with Space Vector Pulse Width Modulation (SVPWM). The implementation typically involves MATLAB/Simulink blocks for motor modeling, Park/Clarke transformations, and adaptive controller design. First, the fundamental principles and operational mechanisms of PMSM are explained in detail, including the mathematical model representation using d-q axis transformation equations. Second, the basic principles and applications of Space Vector Modulation technique are introduced, with implementation involving sector identification, switching time calculation, and pulse pattern generation algorithms. Third, the concept and characteristics of Model Reference Adaptive Control are elaborated, focusing on parameter adaptation laws and stability proof mechanisms. Finally, by integrating PMSM characteristics, a vector control method combining MRAS with SVPWM is proposed, featuring adaptive speed estimation and robust current regulation. The system implementation typically includes reference model selection, adaptive mechanism design using Lyapunov stability theory, and SVPWM signal generation through microcontroller programming. This research effectively enhances PMSM control performance by achieving more precise and stable operation through adaptive parameter tuning and optimized modulation techniques.