Sensorless Control System Simulation Model for Permanent Magnet Synchronous Motor Based on Model Reference Adaptive Control

The three-phase Permanent Magnet Synchronous Motor (PMSM) represents a highly efficient and precisely controllable motor type extensively utilized across various industries including robotics, aerospace, and transportation systems. The Model Reference Adaptive Control (MRAC) methodology employs a reference model to automatically adjust controller parameters in response to system variations, thereby maintaining stability and robustness. Within the Simulink simulation environment, the implementation typically involves designing adaptive observers using Lyapunov stability theory, where the model incorporates critical functions such as speed estimation algorithms and parameter adaptation mechanisms. The simulation model enables comprehensive analysis of PMSM operational principles and performance characteristics through interactive parameter tuning. By systematically adjusting simulation parameters like PI controller gains, adaptive rates, and motor constants, engineers can optimize motor performance characteristics and obtain practical guidance for real-world applications. The simulation framework provides valuable insights into sensorless control implementation strategies, including back-EMF estimation techniques and position/speed observer design considerations.