The Application of Genetic Algorithm in the Structural Optimization of Permanent Magnet Synchronous Motor
Author:
Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-33-6609-1_76
Reference12 articles.
1. Mutluer, M., and O. Bilgin. 2011. Comparison of stochastic optimization methods for design optimization of permanent magnet synchronous motor. Neural Computing and Applications 21 (8): 2049–2056.
2. Tanaka, C.N., and I.E. Chabu. 2020. Flux reversal free splittable stator core doubly salient permanent magnet motor. IEEE Latin America Transactions 18 (8): 1329–1336.
3. Wen, Jiabin, and Lan Yu. 2019. Application of Taguchi method in permanent magnet synchronous motor structure optimization. Journal of Harbin University of Science and Technology 024 (005): 64–69. (in Chinese).
4. Tang, Renyuan. 2016. Theory and design of modern permanent magnet motors. China Machine Press. (in Chinese).
5. Duan, Y., and D.M. Ionel. 2013. A review of recent developments in electrical machine design optimization methods with a permanent magnet synchronous motor benchmark study. IEEE Transactions on Industry Applications 49 (3): 1268–1275.
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3