Novel Sensorless PMSM Speed Control Using Advanced Fuzzy MRAS Algorithm

Permanent magnet synchronous motors (PMSM) have received the attention of manufacturers for electric drive systems because of their high power density, high efficiency, highly durable mechanical construction, and low maintenance costs. However, the use of rotor position encoders in vector control methods increases equipment costs, increases installation space, and is very sensitive to the mechanical vibration of the rotor shaft. Therefore, many sensorless control methods have been proposed, and numerous significant results have been obtained in recent years. Unfortunately, the estimated rotor speed through sensorless control methods often fluctuates around the actual value, called the chattering phenomenon. Chattering is inevitable and degrades PMSM speed control quality when used for closed-loop control loops. This study proposes an advanced Fuzzy Model Reference Adaptive System (Fuzzy MRAS) algorithm to minimize the chattering phenomenon by allowing error removal between actual and calculated stator currents, thereby improving the quality of rotor speed regulation. The superiority of the proposed control method is demonstrated via comparison with conventional MRAS and MRAS combined with Fuzzy PI control techniques through simulation PMSM speed models using Matlab/Simulink software.