Dynamic Performance Improvement for Permanent Magnet Synchronous Motor Drive Combining Hall Sensor and Sensorless Algorithem

The underwater unmanned vehicle (UUV) has strict requirements for the volume, noise, and dynamic response of the motor propulsion system. Therefore, a control algorithm of permanent magnet synchronous motor (PMSM) combining hall sensors and position sensorless technology is adopted to meet the above requirements. And during the speed transition phase, the hysteresis is employed to facilitate a seamless transition between low speed and medium-high speed control methods. Since the observer-based position sensorless control method is a closed-loop system that utilizes state deviation for regulation, its state tracking performance is affected by the regulator type and delay, which can lead to issues of response delay and overshoot in digital discrete control systems. To solve this problem, a position sensorless control system for PMSM is proposed, which is a back electromotive force (EMF) estimation algorithm based on model predictive control (MPC). It has been verified that the proposed drive system can offer good operation performance by the simulation and experiments.