Affiliations: [a] University of Kashan, Kashan, Iran | [b] Islamic Azad University, Tehran North Branch, Tehran, Iran | [c] Islamic Azad University, Kashan Branch, Kashan, Iran
Correspondence:
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Corresponding author: Amir Ata Yadghar, University of Kashan, Kashan, Iran. E-mail:a.yadghar@grad.kashanu.ac.ir
Abstract: This paper presents switched reluctance motor features improvement by
presenting new geometries dimension optimization. The design goals
are ripple of torque and weight reduction and average torque increase. To
achieve these goals not only design of previous research of a normal SRM is
improved, but also new geometries with optimised dimension are suggested.
The performance analysis of SRM is carried out by a finite element method
software. A multi objective genetic algorithm coded by MATLAB, has been
employed to perform the numerical analysis to obtain solutions. COMSOL 4.3
has been selected for FEM analysis in order to establish a better online
link to MATLAB. To reach a reliable solution, the being optimized parameters
of each suggested geometry, has been widely changeable by MOGA as long as
there is no conflicts between others. The method of optimization and the new
suggested geometries has been applied to a 6/4 SRM and simulation results
have been declared and discussed.
Keywords: Switched reluctance motor (SRM), finite element method (FEM), dynamic geometry, multi objective genetic algorithm (MOGA), torque ripple optimization, torque optimization, weight optimization
