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GA and PSO Based Approaches for Fast Optimization of External Rotor Switched Reluctance Motor Design ParametersPOLAT, M.   , YILDIZ, A. |
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Author keywords
electric vehicle, external rotor, switched reluctance motor, finite element analysis, heuristic optimization algorithm, optimization
References keywords
reluctance(25), switched(24), motor(20), optimization(17), design(13), torque(10), algorithm(10), electric(9), swarm(7), ripple(7)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2023-05-31
Volume 23, Issue 2, Year 2023, On page(s): 11 - 18
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2023.02002
Web of Science Accession Number: 001009953400002
SCOPUS ID: 85164329171
Abstract
With the application of computational intelligence methods to different fields, it has also started to be used in the designs of electric motors. In this paper, a 3-phase 18/12 pole 30 kW in-wheel External Rotor Switched Reluctance Motor (ERSRM) is designed for the Electric Vehicles (EVs). For this design, an analytical model is developed using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) methods. While determining the design dimensions of the ERSRM, it is aimed to obtain maximum efficiency and the desired torque fast in the developed models. As a result of the developed models using the GA and PSO methods, motor design parameters obtained are compared with the results of Finite Element Analysis (FEA). In the designed models, the inductance values at the unaligned and aligned positions, torque, and efficiency values are calculated. The results obtained from the heuristic based models developed are subjected to various error calculation methods. Consequently, it is observed that the results obtained by the GA and PSO methods are much faster than that of the FEA and the errors are acceptable. Besides, it is seen that the ERSRM design realized by the proposed methods has low time cost and high accuracy. |
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
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Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
