A learning observer-based control strategy for PMSM with position sensor fault in railway

Abstract

In this paper, control strategy for PMSM with position sensor fault in railway is investigated. Conventional control approaches rely on accurate measurement feedback signal by position sensor. However, position sensor of PMSM in trains is prone to failure. To solve such a problem, a learning observer-based control strategy is proposed. Firstly, a novel learning observer is proposed in order to achieve high-precision estimation of electromotive force. Secondly, a combined PD-SMC controller is designed to accelerate speed response. Estimation of position and speed can be deduced from EMFs estimation, the estimated speed information can be employed by proposed PD-SMC controller. The effectiveness and validity of proposed learning observer and PD-SMC controller are verified by simulations and experiments.