Method for Fault Diagnosis and Speed Control of PMSM

In the field of fault tolerance estimation, increasing attention in electrical motors is detection and diagnosis. The tasks performed by these machines are progressively complex enhancements likewise looked for It has now turned out to be essential diagnose faults at their very inception; as unscheduled machine downtime can upset deadlines cause heavy financial burden. this paper, diagnosis speed control permanent magnet synchronous motor (PMSM) proposed. Elman Neural Network (ENN) used motor. Both location severity considered. this, eccentricity may occur To motor, Dolphin Swarm Optimization (DSO) algorithm used. proposed work simulated using MATLAB terms amplitude, torque. comparison graph vs. torque obtained method gives better result compared other existing techniques. also with Particle (PSO) Elephant Herding (EHO) algorithm. usage detect outcome.