@inproceedings{ddb5037660444890b4297e5bcd0d04b5,
title = "CQICO and multi-objective thermal optimization for high speed PM generator",
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). Via mixing the Quantum Computation into the Immune Cloning Algorithm, the new algorithm is benefited with 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 can 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.",
keywords = "CQICO, Fluid-thermal, Groove, HSPMG, Optimization",
author = "Xiaochen Zhang and Weili Li and Chris Gerada and He Zhang and Jing Li and Michael Galea and David Gerada and Junci Cao",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 17th Biennial IEEE Conference on Electromagnetic Field Computation, IEEE CEFC 2016 ; Conference date: 13-11-2016 Through 16-11-2016",
year = "2017",
month = jan,
day = "12",
doi = "10.1109/CEFC.2016.7816065",
language = "English",
series = "IEEE CEFC 2016 - 17th Biennial Conference on Electromagnetic Field Computation",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "IEEE CEFC 2016 - 17th Biennial Conference on Electromagnetic Field Computation",
address = "United States",
}