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Bentounsi Amar
Mentouri University of Constantine 1
Computer Science & IT Electrical & Electronics Engineering

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Optimal Design of Switched Reluctance Motor Using PSO Based FEM-EMC Modeling Mouellef Sihem; Bentounsi Amar; Benalla Hocine
International Journal of Electrical and Computer Engineering (IJECE) Vol 5, No 5: October 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (297.72 KB) | DOI: 10.11591/ijece.v5i5.pp887-895

Abstract

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.
Co-Authors Benalla Hocine Mouellef Sihem