期刊
IEEE TRANSACTIONS ON ENERGY CONVERSION
卷 35, 期 4, 页码 2086-2094出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TEC.2020.3011925
关键词
Optimization; Robustness; Reactive power; Torque; Sensitivity analysis; Stators; Permanent magnet vernier machine; hybrid stator; deterministic optimization; robust optimization
资金
- NationalNatural Science Foundation of China [51991383, 51807082]
- Natural Science Foundation of Jiangsu Province [BK20180883]
- HongKong Scholar Program [XJ2019031]
- Natural Science Foundation of JiangsuHigherEducation Institutions [18KJB470007]
- Priority Academic Program Development of Jiangsu Higher Education Institutions
This article tackles the design problem for a permanent magnet Vernier machine with hybrid stator to achieve a high structure robustness, enhanced torque and improved power factor simultaneously. The key of the solution is divided into two parts. One is to solve the conflict between torque and power factor by deterministic optimization. The other is to optimize its robustness with the help of robust optimization. Firstly, sensitivity analysis is adopted to stratify design parameters. Afterwards, a multi-objective deterministic optimization is applied to achieve an optimal balancing design between the two competing objectives, torque and power factor. However, the deterministic optimization ignores the size deviation in actual production, which most likely results in the poor structure robustness. Therefore, robustness analysis is employed to check its robustness. Then, through the robustness optimization, the robustness of this machine is further improved on the basis of the deterministic optimization. Finally, a prototype machine is built and the experiments on the prototype machine are carried out to verify the validity of the robust optimization.
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