A novel conceptual design method for aviation PMSG based on thermal modeling
A multi-disciplinary optimization design method for permanent magnet synchronous generators based on thermal modeling is proposed in this paper. The complex coupling among the thermal, electromagnetic, and mechanical systems and the difficulties in optimization with conflicting objectives of multipl...
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Published in | International journal for simulation and multidisciplinary design optimization Vol. 15; p. 28 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Les Ulis
EDP Sciences
2024
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Online Access | Get full text |
ISSN | 1779-6288 1779-6288 |
DOI | 10.1051/smdo/2024009 |
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Abstract | A multi-disciplinary optimization design method for permanent magnet synchronous generators based on thermal modeling is proposed in this paper. The complex coupling among the thermal, electromagnetic, and mechanical systems and the difficulties in optimization with conflicting objectives of multiple disciplines has been studied. Firstly, a multi-disciplinary design optimization model is established based on the coupling relationships between the thermal, electromagnetic, and mechanical performance of permanent magnet synchronous generators. Then, optimization objectives are set as low temperature-rise, low volume and weight, and sizeable electromagnetic size. The critical parameters in the thermal, electromagnetic, and mechanical systems of the generators are considered decision variables. The particle swarm optimization algorithm is selected as a multi-objective problem-solving algorithm to support the multi-disciplinary optimization of thermal motor design. Based on thermal modeling, a high disciplinary coupling and high physical fidelity concept design method for aerospace permanent magnet synchronous generators is presented. This conceptual design method can effectively reduce the design cost of aerospace generators, shorten the development cycle, and promote the design and development of aerospace permanent magnet generators. |
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AbstractList | A multi-disciplinary optimization design method for permanent magnet synchronous generators based on thermal modeling is proposed in this paper. The complex coupling among the thermal, electromagnetic, and mechanical systems and the difficulties in optimization with conflicting objectives of multiple disciplines has been studied. Firstly, a multi-disciplinary design optimization model is established based on the coupling relationships between the thermal, electromagnetic, and mechanical performance of permanent magnet synchronous generators. Then, optimization objectives are set as low temperature-rise, low volume and weight, and sizeable electromagnetic size. The critical parameters in the thermal, electromagnetic, and mechanical systems of the generators are considered decision variables. The particle swarm optimization algorithm is selected as a multi-objective problem-solving algorithm to support the multi-disciplinary optimization of thermal motor design. Based on thermal modeling, a high disciplinary coupling and high physical fidelity concept design method for aerospace permanent magnet synchronous generators is presented. This conceptual design method can effectively reduce the design cost of aerospace generators, shorten the development cycle, and promote the design and development of aerospace permanent magnet generators. |
Author | Ai, Fengming He, Linke Wang, He Wang, Yangang Zhou, Zhongzheng |
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Cites_doi | 10.1109/Dynamics52735.2021.9653459 10.4271/2014-01-2144 10.2514/6.2016-0674 10.2514/6.2017-3146 10.1051/smdo/2021037 10.1115/1.2982151 10.1051/ijsmdo/2010004 10.1109/ICEPE.2018.8559756 10.1109/TIE.2016.2522942 10.3390/en15113923 |
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SubjectTerms | Algorithms aviation permanent magnet generator Conceptual design Coupling Design optimization Design techniques generator thermal design Generators Low temperature Mechanical properties Mechanical systems multi-disciplinary optimization design Optimization models Particle swarm optimization particle swarm optimization algorithm Permanent magnets Synchronous machines Thermal analysis |
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