Robust Control Strategies applied to the PMSM Based on Programmable Digital Sensor Feedback

Abstract

This paper presents advanced control strategies for Permanent Magnet Synchronous Machines (PMSMs). Due to their nonlinear characteristics, PMSMs require robust and adaptive control methods. The study first evaluates Field-Oriented Control (FOC) with proportional–integral (PI) controllers and identifies limitations caused by parameter variations and mechanical sensors. To address these issues, a robust control approach combined with Model Reference Adaptive System (MRAS) techniques and an observer for speed and position estimation is proposed. The results confirm the effectiveness of the MRAS-based strategy in ensuring accurate, sensorless control under low-speed and challenging conditions.