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CQICO and multiobjective thermal optimization for high-speed PM generator

Zhang, Xiaochen; Li, Weili; Gerada, C.; Zhang, He; Li, Jing; Galea, Michael; Gerada, David; Cao, Junci

Authors

Xiaochen Zhang

Weili Li

He Zhang He.ZHANG@nottingham.edu.cn

Jing Li

MICHAEL GALEA Michael.Galea@nottingham.ac.uk
Professor of Electrical Machines and Drives

DAVID GERADA D.Gerada@nottingham.ac.uk
Principal Research Fellowin Electrical Machines

Junci Cao



Abstract

This paper proposes a novel Continuous Quantum Immune Clonal Optimization (CQICO) algorithm for thermal optimization on an 117kW high speed permanent magnet generator (HSPMG). The proposed algorithm mixes the Quantum Computation into the Immune Cloning Algorithm and causes better population diversity, higher global searching ability, and faster convergence which approved by simulation results. Then, the improved algorithm is applied to seek an optimized slot groove and improve HSPMG thermal performance, in which the 3-D fluid-thermal coupling analyses are processed with a multi-objective optimal group composed of the highest temperature and the temperature difference. Both the proposed algorithm and the obtained conclusions are of significances in the design and optimization of the cooling system in electric machines.

Citation

Zhang, X., Li, W., Gerada, C., Zhang, H., Li, J., Galea, M., …Cao, J. (2017). CQICO and multiobjective thermal optimization for high-speed PM generator. IEEE Transactions on Magnetics, 53(6), https://doi.org/10.1109/TMAG.2017.2658187

Journal Article Type Article
Acceptance Date Jan 18, 2017
Publication Date Jan 25, 2017
Deposit Date Aug 30, 2017
Publicly Available Date Aug 30, 2017
Journal IEEE Transactions on Magnetics
Print ISSN 0018-9464
Electronic ISSN 0018-9464
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 53
Issue 6
DOI https://doi.org/10.1109/TMAG.2017.2658187
Keywords CQICO, HSPMG, Fluid-thermal, Groove, Optimization
Public URL http://eprints.nottingham.ac.uk/id/eprint/45232
Publisher URL http://ieeexplore.ieee.org/document/7833042/
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf
Additional Information © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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