关键词: 永磁同步电机, 蜣螂优化算法, 模型预测转矩控制, 在线整定

Abstract: Aiming at the problems of poor speed tracking capability and weak anti-interference performance in traditional control systems for permanent magnet synchronous motor, a model predictive torque control ( MPTc) strategy of permanent magnet synchronous motor based on dung beetle optimization algorithm ( DBO-MPTC) was proposed. A discrete system of permanent magnet synchronous motor based on traditional model predictive control system was established, and then dung beetle optimization algorithm was introduced to participate in the online tuning of controller parameters. The predictive control simulation model based on dung beetle optimization algorithm was built through simulation, which verified the superiority of the proposed strategy. Simulation results indicate that compared with the traditional model predictive control, the adopted DBO-MPTC control strategy can improve the speed response and anti-interference ability of permanent magnet synchronous motor.

Key words: permanent magnet synchronous motor ( PMSM ), dung beetle optimization ( DBO ) algorithm, model predictive torque control( MPTC), online tuning