Modeling and Fault Diagnosis of Multi-phase Winding Inter-turn Short Circuit for Five-phase PMSM based on Improved Particle Swarm Optimization

Multi-phase PMSMs are widely used in fault-tolerant control applications. As an electrical fault with a high probability, inter-turn short circuit (ITSC) fault seriously affects the performance of five-phase PMSM. However, due to high coupling of fault parameters, most of the fault models and diagnosis methods in fault-tolerant control focus on one-phase winding ITSC fault of three-phase PMSM. In this paper, a novel model and a fault diagnosis method are proposed for multi-phase winding ITSC (MPWITSC) of five-phase PMSM. First, by analyzing the related physical parameters of the motor, a mathematic model of MPWITSC fault is established. Then, a parameter estimation method based on improved particle swarm optimization (IPSO), which solves the convergence premature of traditional PSO (TPSO) and reformulates the fault diagnosis as the extreme seeking for fault parameters, is proposed to detect the fault level. Simulation results provide preliminary verification of the proposed model and fault diagnosis method.