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

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: https://nottingham-repository.worktribe.com/output/839068
• Publisher URL: http://ieeexplore.ieee.org/document/7833042/
• 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