Parameter Estimation of Three-Phase Induction Motor Using Hybrid of Genetic Algorithm and Particle Swarm Optimization
Joint Authors
Mohammadi, Hamid Reza
Akhavan, Ali
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-12-01
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Mohammadi, Hamid Reza& Akhavan, Ali. 2014. Parameter Estimation of Three-Phase Induction Motor Using Hybrid of Genetic Algorithm and Particle Swarm Optimization. Journal of Engineering،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1040410
Modern Language Association (MLA)
Mohammadi, Hamid Reza& Akhavan, Ali. Parameter Estimation of Three-Phase Induction Motor Using Hybrid of Genetic Algorithm and Particle Swarm Optimization. Journal of Engineering No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-1040410
American Medical Association (AMA)
Mohammadi, Hamid Reza& Akhavan, Ali. Parameter Estimation of Three-Phase Induction Motor Using Hybrid of Genetic Algorithm and Particle Swarm Optimization. Journal of Engineering. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1040410
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1040410