关键词: 永磁同步电机, 滑模变结构控制, 电力推进, 滑模观测器, 蚁群算法

Abstract: To improve the stability of sensorless permanent magnet synchronous motors for electric propulsion, an improved motor sliding mode observer was designed based on two-phase rotating coordinate system and motor vector model. In order to enhance the anti-interference performance and control precision of the sliding mode observer, sigmoid function was used as the switching function of the sliding mode observer, and fuzzy control strategy was introduced to improve the switching gain. The ACO algorithm was adopted to optimize the adjustable parameters of the sliding mode observer. The simulation results show that the improved sliding mode observer could improve the stability of rotating speed and torque control of sensorless permanent magnet synchronous motors, make the d-axis and q-axis currents more stable, improve the rotor position estimation precision of permanent magnet synchronous motors, and reduce position estimation errors.

Key words: permanent magnet synchronous motor, sliding mode variable structure control, electric propulsion, sliding mode observer( SMO), ant colony optimization( ACO)