Particle swarm optimization based fault diagnosis for non-salient PMSM with multi-phase inter-turn short circuit

This paper deals with a new scheme for the automatic diagnosis of multiphase inter-turn short circuit faults in a non-salient permanent magnet synchronous motor (PMSM) stator windings. Base on a general dynamic model of a non-salient PMSM subjected to the multiphase inter-turn short circuit fault, a particle swarm optimization (PSO) algorithm is developed which can provide a diagnosis of the fault position and level by identifying the amount of the shorted turns for each phase. The advantages of the proposed algorithm, is the capability of single, multiple and simultaneous phase ITSC fault diagnosis. The proposed method is simulated in MATLAB/ Simulink environment. Extensive simulation studies provide preliminary verification of the fault diagnosis scheme.