Multi Objective Optimization Design of Unequal Halbach Array Permanent Magnet Vernier Motor Based on Optimization Algorithm

التفاصيل البيبلوغرافية
العنوان: Multi Objective Optimization Design of Unequal Halbach Array Permanent Magnet Vernier Motor Based on Optimization Algorithm
المؤلفون: Ying Fan, Qiushuo Chen, Xu Wang, Yutong Lei
المصدر: 2021 IEEE Energy Conversion Congress and Exposition (ECCE).
بيانات النشر: IEEE, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Halbach array, Control theory, Computer science, Vernier scale, law, Cogging torque, Particle swarm optimization, Torque, Torque ripple, Sensitivity (control systems), Multi-objective optimization, law.invention
الوصف: To improve the output performance (torque, torque ripple, cogging torque) of the vernier motor, a consequent-pole unequal Halbach permanent magnet vernier motor (CPUHPMVM) has been proposed. Compared with the other two kinds of vernier motor topologies, the difference of topology is expounded. Based on the analytic formula of the objective function, the sensitivity of some parameters is analyzed. The Pareto frontiers of the NSGA-II algorithm based on RSM and the optimal solution set of the PSO algorithm are compared, and the electromagnetic properties of the three topologies are compared through finite element analysis (FEM). Finally, the prototype with the optimal parameters is manufactured, and the effectiveness and advantages of the optimization algorithm are verified by experiments.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::7e850bcee417645a2f567df55aa07a50
https://doi.org/10.1109/ecce47101.2021.9595558
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........7e850bcee417645a2f567df55aa07a50
قاعدة البيانات: OpenAIRE