Optimal Design of Switched Reluctance Motor Using PSO Based FEM-EMC Modeling

This paper aims to optimize the design of a prototype of a 6/4 Switched Reluctance Motor (SRM) using the Particle Swarm Optimization (PSO) algorithm. The geometrical parameters to optimize are the widths of the stator and rotor teeth due to their significant effects on the prototype design and the p...

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Bibliographic Details
Published inInternational journal of electrical and computer engineering (Malacca, Malacca) Vol. 5; no. 5; p. 887
Main Authors Sihem, Mouellef, Amar, Bentounsi, Hocine, Benalla
Format Journal Article
LanguageEnglish
Published Yogyakarta IAES Institute of Advanced Engineering and Science 01.10.2015
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Summary:This paper aims to optimize the design of a prototype of a 6/4 Switched Reluctance Motor (SRM) using the Particle Swarm Optimization (PSO) algorithm. The geometrical parameters to optimize are the widths of the stator and rotor teeth due to their significant effects on the prototype design and the performances in terms of increased average torque and reduced torque ripple. The studied 3kW SRM is modeled using a numerical-analytical approach based on a coupled Finite Element Method with Equivalent Magnetic Circuit (FEM-EMC). The simulations are performed under MATLAB environment with user-friendly software. The optimal results found are discussed, compared against those obtained by the Genetic Algorithms (GA) and showed a significant improvement in average torque.
ISSN:2088-8708
2088-8708
DOI:10.11591/ijece.v5i5.pp887-895