Method for Fault Diagnosis and Speed Control of PMSM

作     者：Smarajit Ghosh 

作者机构：Department of Electrical and Instrumentation EngineeringThapar Institute of Engineering&TechnologyPatialaPunjabIndia 

出 版 物：《Computer Systems Science & Engineering》 (计算机系统科学与工程（英文）)

年 卷 期：2023年第45卷第6期

页      面：2391-2404页

核心收录：

学科分类：070801[理学-固体地球物理学] 07[理学] 0708[理学-地球物理学] 

主　　题：Amplitude electricmotor elephant herding optimization algorithm fault detection partial swarm optimization algorithm permanent magnet synchronous motor 

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