关键词: 单相永磁同步电机, 自学习, 故障检测, BP网络神经, 堵转

Abstract:

A method of fault detection which was applied to the single phase permanent magnet synchronous motor (PMSM) based on self-learning was proposed. The mathematical model was established based on the capacitor motor. Symmetrical components of phase voltage and component of positive sequence and negative sequence of phase current were derived after the motor was transformed into a symmetrical support vector machine, and the phase voltage and phase current could be figured up accordingly. The structure of self-learning network has been figured out based on BP network. The actualization of arithmetic was introduced. And the operational mode was sketched out. The experiments on three motors show that the fault can be diagnosed accurately and effectively by this method.

Key words: single phase permanent magnet synchronous motor, self-learning, fault detection, BP (Back Propagation) network, locked-rotor