%0 Journal Article
%T Parameter Estimation of Three-Phase Induction Motor Using Hybrid of Genetic Algorithm and Particle Swarm Optimization
%A Hamid Reza Mohammadi
%A Ali Akhavan
%J Journal of Engineering
%D 2014
%I Hindawi Publishing Corporation
%R 10.1155/2014/148204
%X A cost effective off-line method for equivalent circuit parameter estimation of an induction motor using hybrid of genetic algorithm and particle swarm optimization (HGAPSO) is proposed. The HGAPSO inherits the advantages of both genetic algorithm (GA) and particle swarm optimization (PSO). The parameter estimation methodology describes a method for estimating the steady-state equivalent circuit parameters from the motor performance characteristics, which is normally available from the nameplate data or experimental tests. In this paper, the problem formulation uses the starting torque, the full load torque, the maximum torque, and the full load power factor which are normally available from the manufacturer data. The proposed method is used to estimate the stator and rotor resistances, the stator and rotor leakage reactances, and the magnetizing reactance in the steady-state equivalent circuit. The optimization problem is formulated to minimize an objective function containing the error between the estimated and the manufacturer data. The validity of the proposed method is demonstrated for a preset model of induction motor in MATLAB/Simulink. Also, the performance evaluation of the proposed method is carried out by comparison between the results of the HGAPSO, GA, and PSO. 1. Introduction In most of the applications, induction motors are preferred to DC motors, because of their simple structure, easy operation, and also low cost maintenance and durability. Recently, advanced control techniques such as vector control and field-oriented control (FOC) make them compete with DC motors in many aspects [1]. The information regarding motor circuit parameters is very important for design, performance evaluation, and feasibility of these control techniques. The conventional techniques for estimating the induction motor parameters are based on the locked-rotor and the no-load tests. However, these techniques cannot be implemented easily. The main disadvantage of these techniques is that the motor has to be locked mechanically. In the locked-rotor condition, the frequency of the rotor is equal to the supply frequency, but under operating condition, the rotor frequency is about 1¨C3£¿Hz. This incorrect rotor frequency will cause bad results for the locked-rotor test. Besides, in the motors with high power, this test is impractical. These problems have encouraged the researchers to investigate alternative techniques for parameter estimation. The problem of induction motor parameter estimation has been addressed extensively by many researchers in the past. Deep bar
%U http://www.hindawi.com/journals/je/2014/148204/