Optimal Design of Permanent Magnet Linear Synchronous Motor for Rope-less Mine Hoist System using Improved Niche Genetic Algorithm
Permanent Magnet Linear Synchronous Motor (PMLSM) is the core of rope-less mine hoist system. Optimal mathematic model of PMLSM is established by considering maximum of electromagnetic force and efficiency and minimum of whole motors volume. The genetic algorithm using a niche method can be applied to the problems that require multiple solutions in the search space. An Improved Niche Genetic Algorithm (INGA) automatically tuning up the cross and mutation probability is proposed and used to find more optimal solutions including overall optimal solution and local optimal solution. Through application to the numerical examples, it is verified that the niche-based algorithm is effective. The INGA is applied to optimal design of PMLSM and some reasonable and satisfied results are obtained. The whole volume of PMLSM and consumption of NdFeB permanent magnet are reduced greatly, meanwhile the performance targets such as power factor and efficiency are improved obviously.
rope-less mine hoist system permanent magnet linear synchronous motor improved niche genetic algorithm optimization design
XU Xiaozhuo WANG Xudong DU Baoyu CUI Lizhi
School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454003, Henan, China
国际会议
The 2007 International Symposium on Safety Science and Technology(2007采矿科学与安全技术国际学术会议)
河南焦作
英文
1043-1047
2007-04-17（万方平台首次上网日期，不代表论文的发表时间）