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Energies 2018, 11(10), 2716; https://doi.org/10.3390/en11102716

High Performances Design of a Six-Phase Synchronous Reluctance Motor Using Multi-Objective Optimization with Altered Bee Colony Optimization and Taguchi Method

1
Department of Electrical Engineering, National United University, Miaoli 360, Taiwan
2
Department of Electrical Engineering, Feng Chia University, Taichung 470, Taiwan
*
Author to whom correspondence should be addressed.
Received: 24 August 2018 / Revised: 13 September 2018 / Accepted: 10 October 2018 / Published: 11 October 2018
(This article belongs to the Special Issue Sustainable Energy Systems)
Full-Text   |   PDF [3980 KB, uploaded 11 October 2018]   |  

Abstract

A two-step optimal design with multi-objective functions by using two kinds of optimization methods for a six-phase synchronous reluctance motor is applied in a centrifugal compressor to achieve minimum cost, lower torque ripple, maximum efficiency and higher power factor. In the first-step procedure, the optimal design with multi-objective functions by use of the altered bee colony optimization (BCO) and the Taguchi method combined with finite element analysis (FEA) is used for optimizing the barrier shape and size in the rotor to reduce torque ripple, raise power factor, maximum efficiency and raise output torque. In the second-step procedure, the optimal design with multi-objective functions by means of the altered BCO and the Taguchi method combined with FEA is applied for optimizing the geometry of stator to reduce manufacturing cost, stator iron weight and stator winding weight. Finally, some experimental results show the effectiveness of the proposed techniques. View Full-Text
Keywords: bee colony optimization; centrifugal compressor; finite element analysis; synchronous reluctance motor; Taguchi method bee colony optimization; centrifugal compressor; finite element analysis; synchronous reluctance motor; Taguchi method
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Lin, C.-H.; Hwang, C.-C. High Performances Design of a Six-Phase Synchronous Reluctance Motor Using Multi-Objective Optimization with Altered Bee Colony Optimization and Taguchi Method. Energies 2018, 11, 2716.

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