当前位置: X-MOL 学术J. Electr. Eng. Technol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Optimal Design of Outer-Rotor Surface Mounted Permanent Magnet Synchronous Motor for Cogging Torque Reduction Using Territory Particle Swarm Optimization
Journal of Electrical Engineering & Technology ( IF 1.9 ) Pub Date : 2020-11-09 , DOI: 10.1007/s42835-020-00599-z
Jong-Min Ahn , Ji-Chang Son , Dong-Kuk Lim

In this paper, territory particle swarm optimization (TPSO) is proposed for the optimal design of surface mounted permanent magnet synchronous motor (SPMSM) for high altitude long endurance (HALE) unmanned aerial vehicle (UAV). The proposed algorithm exploits the concept of a territory to the particle swarm optimization (PSO) to solve the problem that the conventional PSO cannot find the multimodal solutions. Also, by combining the stochastic method, PSO, with the deterministic method, pattern search method, it is possible to find optimal solutions quickly and accurately. The superiority of the proposed algorithm is verified through comparison in the test functions with niching genetic algorithm, which is well known multimodal optimization algorithm. The TPSO is applied to the optimization design of outer-rotor SPM for HALE UAV, and the optimal design with reduced cogging torque has been derived.

中文翻译:

外转子表面贴装永磁同步电机的优化设计,用于基于区域粒子群优化的齿槽转矩降低

在本文中,提出领土粒子群优化(TPSO)用于高空长航时(HALE)无人机(UAV)的表面安装永磁同步电机(SPMSM)的优化设计。所提出的算法利用粒子群优化(PSO)的领土概念来解决传统PSO无法找到多模态解决方案的问题。此外,通过将随机方法 PSO 与确定性方法、模式搜索方法相结合,可以快速准确地找到最优解。通过与著名的多模态优化算法nicching遗传算法在测试函数上的对比,验证了所提算法的优越性。TPSO应用于HALE无人机外旋翼SPM优化设计,
更新日期:2020-11-09
down
wechat
bug