High-Performance Fuzzy Based Position Control of Permanent Magnet Synchronous Motor Drive

Abstract

Accurate and fast positioning of load is a key feature of Permanent Magnet Synchronous Motor (PMSM) drives. Hence they are gaining popularity as actuators in a variety of applications like robotics and CNC machines. Also, advances in power electronic devices, magnet materials, optimized motor designs have made a great impact on the research of control of PMSM drives. The drive must be dynamic, and further, the control algorithm should offer robustness against uncertainties, non-linearities, disturbances, etc. An intelligent control, like Fuzzy Inference System (FIS) based algorithm in the position control loop is the best solution to cope up with such situations. Also, speed sensorless control, being advantageous in many ways, is widely employed for these drives. Model Reference Adaptive Control (MRAS) strategy is widely used for speed estimation. This paper presents sensorless position control of PMSM using FIS based fuzzy control algorithm used in speed loop. It also compares the performance of fuzzy control with conventional PID control. MATLAB-SIMULINK platform is used for simulations of the drive under various load and speed conditions. Results demonstrate the correctness and feasibility of the drive.