Improved Sensorless Control of Salient-pole Permanent Magnet Synchronous Motor based on Fuzzy Logic Model Reference Adaptive System

This paper presents an improved sensorless control of a Salient-Pole Permanent Magnet Synchronous Machine (SPMSM) based on fuzzy logic model reference adaptive system. For this purpose, an observer based on a model reference adaptive system is utilized and the respective analytical model is established to receive the speed and the position of the rotor. To accurately determine the rotor position, the fuzzy logic method is adopted, and the control coefficients of the model reference are determined online based on the governing rules of the control system. The presented method is simulated via MATLAB/SIMULINK software. The simulation results confirm that the presented model can successfully improve the accuracy of tracking rotor position in a shorter time frame.