Determination of Induction Machine Parameters by Using Particle Swarm Optimization Technique

Abstract

In this paper the determination of induction machine parameters by using Particle Swarm Optimization (PSO) technique is presented. An equivalent circuit without considering the iron losses is analyzed. The circuit parameters are found as the result of the error minimization function between the estimated and maker data. In order to determine the parameters, the values of the phase current and power factor for three slip values of the machine have been used. The accuracy of the usage PSO is analyzed by determining the relative error between the optimized and real value of the phase current and power factor for all three slip values. The obtained results are also compared with results found in literature which are obtained by using Genetic Algorithm (GA). It is concluded that PSO is more efficient in solving the parameter estimation problems.