CQICO and multiobjective thermal optimization for high-speed PM generator

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Zhang, Xiaochen, Li, Weili, Gerada, C., Zhang, He, Li, Jing, Galea, Michael, Gerada, David and Cao, Junci (2017) CQICO and multiobjective thermal optimization for high-speed PM generator. IEEE Transactions on Magnetics, 53 (6). ISSN 0018-9464

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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.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/839068
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
Keywords: CQICO, HSPMG, Fluid-thermal, Groove, Optimization
Schools/Departments: University of Nottingham Ningbo China > Faculty of Science and Engineering
University of Nottingham, UK > Faculty of Engineering > Department of Electrical and Electronic Engineering
Identification Number: https://doi.org/10.1109/TMAG.2017.2658187
Depositing User: Burns, Rebecca
Date Deposited: 30 Aug 2017 13:54
Last Modified: 04 May 2020 18:29
URI: https://eprints.nottingham.ac.uk/id/eprint/45232

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