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Efficiency optimization of transverse flux permanent magnet machine using genetic algorithm | |
Bao, G.Q.1,2![]() | |
2005 | |
会议名称 | ICEMS 2005: 8th International Conference on Electrical Machines and Systems |
会议录名称 | ICEMS 2005: Proceedings of the Eighth International Conference on Electrical Machines and Systems
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卷号 | 1 |
页码 | 380-384 |
会议日期 | September 27, 2005 - September 29, 2005 |
会议地点 | Ninjing, China |
出版者 | Inst. of Elec. and Elec. Eng. Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States |
摘要 | Particular interest is presently focused on electric propulsion system for the reduction of air pollution and noise. Transverse flux permanent magnet machine (TFPM) is one of the most suitable designs in such application so far as its high power production potential In this paper a modified genetic algorithm (GA) is developed to find the independent geometrical parameters of rotor and stator with the aim of reducing the TFPM's power losses, which occur in the iron and the winding. The evolutionary algorithm GA is proved to be a simple and efficient stochastic optimization method for solving optimal design problem in industry. It is found that analytical analysis of machine combined with GA offers an effective way to improve the motor's efficiency. The calculation result validates the proposed design can achieve a good prediction of TFPM performance. |
关键词 | Air pollution Electric propulsion Genetic algorithms Magnetic flux Optimization Rotors Spurious signal noise Geometrical parameters Power production Transverse flux permanent magnet machines (TFPM) |
收录类别 | EI |
语种 | 英语 |
EI入藏号 | 20070810432158 |
EI主题词 | Permanent magnets |
来源库 | Compendex |
分类代码 | 921 Mathematics - 704.1 Electric Components - 701.2 Magnetism: Basic Concepts and Phenomena - 921.5 Optimization Techniques - 701.1 Electricity: Basic Concepts and Phenomena - 601.2 Machine Components - 451 Air Pollution - 654.2 Rocket Engines |
文献类型 | 会议论文 |
条目标识符 | https://ir.lut.edu.cn/handle/2XXMBERH/117114 |
专题 | 电气工程与信息工程学院 |
作者单位 | 1.School of Electromechanical Engineering and Automation, Shanghai University, Shanghai, 200072, China; 2.School of Electrical Engineering, Lanzhou University of Technology, Lanzhou, 730050, China |
第一作者单位 | 兰州理工大学 |
推荐引用方式 GB/T 7714 | Bao, G.Q.,Shi, J.H.,Jiang, J.Z.. Efficiency optimization of transverse flux permanent magnet machine using genetic algorithm[C]:Inst. of Elec. and Elec. Eng. Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States,2005:380-384. |
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