Dual-Redundancy Permanent Magnet Synchronous Motors Phase-to-Phase Short Circuit Fault Diagnosis

In the design of permanent magnet synchronous motors, the residual degree technique is used to improve the reliability of motor operation. In this paper, to solve the problem of single-phase, two-phase or three-phase short-circuit faults in the winding of a dual-redundancy permanent magnet synchronous motors(DRPMSM), a variational modal decomposition(VMD)method is proposed to use the energy information of the intrinsic modal component(IMF)of the non-faulty winding phase current signal as the fault feature vector. By splitting the stator winding and changing the control circuit, a finite element model of motor short-circuit fault based on the joint simulation of Ansys and Simulink is constructed. Finally, a genetic algorithm is used for fault diagnosis, while a support vector machine(GA-SVM)fault diagnosis model based on a genetic algorithm is established and analyzed for fault samples. The results show that the diagnosis is accurate and reliable, and the effectiveness of the method is verified.