Sensor lessPMSM Control Algorithm for Rim-Driven Thruster Based on Improved PSO

Aiming at the chattering and parameter setting problems in the Permanent Magnet Synchronous Motor of Rim-Driven Thruster (RDT), a sensorless control algorithm combining model reference adaptive control (MRAC) and variable structure control (VSC) is presented. An improved particle swarm optimization (PSO) algorithm is used, the integral of the error between the RDT's estimated speed and the given speed's absolute value and time's product is chosen as a performance evaluation function in the algorithm. The cosine change is introduced to the inertia weight in the iterative process of the PSO which realizes the optimization of the adjustable parameters in the observer. The algorithm is verified by means of MATLAB/ Simulink simulation. The simulation results show that compared with the PSO based on the commonly used inertial weight adjustment method, the improved PSO can improve the shortcomings of slow iteration speed and insufficient precision, the sensorless control algorithm based on the improved PSO can reduce the chattering generated in the RDT motor speed and position estimation, the error between the estimated speed and the given speed, and get the rotor estimation speed accurately, the reliability of the algorithm is verified.