Efficiency optimization of transverse flux permanent magnet machine using genetic algorithm

	Efficiency optimization of transverse flux permanent magnet machine using genetic algorithm
	Bao, G.Q.1,2 ; Shi, J.H.1; Jiang, J.Z.1
	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
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.