Multi-objective optimum design of five-phase squirrel cage induction motor by differential evolution algorithm

Compared with the traditional induction motors, five-phase squirrel cage induction motor (FSCIM) have the advantages of lower torque ripple and single-phase power, flexible control strategy, higher power density and fault-tolerant operation, which has been widely applied on electrical vehicles, rail...

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Main Authors: Hansi Chen, Jinghong Zhao, Hanming Wang, Qingfei Zhang, Xiangyu Luo, Hao Xu, Yiyong Xiong
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Energy Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484722018224
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author Hansi Chen
Jinghong Zhao
Hanming Wang
Qingfei Zhang
Xiangyu Luo
Hao Xu
Yiyong Xiong
author_facet Hansi Chen
Jinghong Zhao
Hanming Wang
Qingfei Zhang
Xiangyu Luo
Hao Xu
Yiyong Xiong
author_sort Hansi Chen
collection DOAJ
description Compared with the traditional induction motors, five-phase squirrel cage induction motor (FSCIM) have the advantages of lower torque ripple and single-phase power, flexible control strategy, higher power density and fault-tolerant operation, which has been widely applied on electrical vehicles, rail transit, underwater vehicles and so on. This paper presents an analytical design optimization method based on the coupling of electromagnetic equivalent circuit (EEC) and differential evolution algorithm (DEA). Furthermore, the difference between three and five-phase winding on harmonic specific leakage permeance is investigated in detail. The nonlinear and oeolotropic influences of design geometrical parameters (slots openings, main dimension ratio, yoke height, airgap length, etc.) on the performances of the basic FSCIM model are evaluated with analytical model. For more accurate results, the harmonic characteristics of five-phase winding structure, iron core saturation, rotor slot skew width, stator end winding, slot leakage inductance and stator and rotor slot structure are considered. Meanwhile, the efficiency, power factor, maximum torque, slot fill factor and material consumption of FSCIM are calculated as the comprehensive objective function. The transient finite element analysis (TFEA) and experimental test verify the accuracy of the proposed optimum model. In addition, the feasibility of the multi objective optimization design scheme provided by the analytical model is verified by TFEA.
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spelling doaj.art-8c9b5eec2d5f45ebae7cafd6240544c72023-01-18T04:31:31ZengElsevierEnergy Reports2352-48472022-11-0185162Multi-objective optimum design of five-phase squirrel cage induction motor by differential evolution algorithmHansi Chen0Jinghong Zhao1Hanming Wang2Qingfei Zhang3Xiangyu Luo4Hao Xu5Yiyong Xiong6College of Electrical Engineering in Naval University of Engineering, Hubei 430033, ChinaCorresponding author.; College of Electrical Engineering in Naval University of Engineering, Hubei 430033, ChinaCollege of Electrical Engineering in Naval University of Engineering, Hubei 430033, ChinaCollege of Electrical Engineering in Naval University of Engineering, Hubei 430033, ChinaCollege of Electrical Engineering in Naval University of Engineering, Hubei 430033, ChinaCollege of Electrical Engineering in Naval University of Engineering, Hubei 430033, ChinaCollege of Electrical Engineering in Naval University of Engineering, Hubei 430033, ChinaCompared with the traditional induction motors, five-phase squirrel cage induction motor (FSCIM) have the advantages of lower torque ripple and single-phase power, flexible control strategy, higher power density and fault-tolerant operation, which has been widely applied on electrical vehicles, rail transit, underwater vehicles and so on. This paper presents an analytical design optimization method based on the coupling of electromagnetic equivalent circuit (EEC) and differential evolution algorithm (DEA). Furthermore, the difference between three and five-phase winding on harmonic specific leakage permeance is investigated in detail. The nonlinear and oeolotropic influences of design geometrical parameters (slots openings, main dimension ratio, yoke height, airgap length, etc.) on the performances of the basic FSCIM model are evaluated with analytical model. For more accurate results, the harmonic characteristics of five-phase winding structure, iron core saturation, rotor slot skew width, stator end winding, slot leakage inductance and stator and rotor slot structure are considered. Meanwhile, the efficiency, power factor, maximum torque, slot fill factor and material consumption of FSCIM are calculated as the comprehensive objective function. The transient finite element analysis (TFEA) and experimental test verify the accuracy of the proposed optimum model. In addition, the feasibility of the multi objective optimization design scheme provided by the analytical model is verified by TFEA.http://www.sciencedirect.com/science/article/pii/S2352484722018224Five-phase induction motorDifferential evolution algorithmMulti objective optimizationFast performance computation
spellingShingle Hansi Chen
Jinghong Zhao
Hanming Wang
Qingfei Zhang
Xiangyu Luo
Hao Xu
Yiyong Xiong
Multi-objective optimum design of five-phase squirrel cage induction motor by differential evolution algorithm
Energy Reports
Five-phase induction motor
Differential evolution algorithm
Multi objective optimization
Fast performance computation
title Multi-objective optimum design of five-phase squirrel cage induction motor by differential evolution algorithm
title_full Multi-objective optimum design of five-phase squirrel cage induction motor by differential evolution algorithm
title_fullStr Multi-objective optimum design of five-phase squirrel cage induction motor by differential evolution algorithm
title_full_unstemmed Multi-objective optimum design of five-phase squirrel cage induction motor by differential evolution algorithm
title_short Multi-objective optimum design of five-phase squirrel cage induction motor by differential evolution algorithm
title_sort multi objective optimum design of five phase squirrel cage induction motor by differential evolution algorithm
topic Five-phase induction motor
Differential evolution algorithm
Multi objective optimization
Fast performance computation
url http://www.sciencedirect.com/science/article/pii/S2352484722018224
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AT hanmingwang multiobjectiveoptimumdesignoffivephasesquirrelcageinductionmotorbydifferentialevolutionalgorithm
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