The use of particle swarm optimisation for the tracking of Induction motor faulty lines

Abstract

This paper focuses on particles swarm optimization as a resource related to the tracking of faulty current lines of induction motor operating under fault. This can approach should be an opportunity to rise up the principal lines dealing with a rotor broken bar even if the motor operates at variable frequency. The approach considered in this paper a linear time varying inertia weight. We will show the ability of this approach to estimate the line frequency and the fault line frequencies. The induction motor operates under one full broken bar. Experiments prove that particle swarm optimization method is an efficient method to solve the optimization problem as to extract information quickly from a spectrum.