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Design and Optimization Techniques in Performance Improvement of Line-Start Permanent Magnet Synchronous Motors: A Review
IEEE Transactions on Magnetics ( IF 2.1 ) Pub Date : 2021-07-28 , DOI: 10.1109/tmag.2021.3098392
Mousalreza Faramarzi Palangar , Wen L. Soong , Nicola Bianchi , Rong-Jie Wang

This article covers the design methodologies and optimization techniques studied in the performance improvement of line-start permanent magnet synchronous motors (LSPMSMs). LSPMSM performance improvement using design techniques are chiefly limited to either the transient or the steady-state performance improvement, and a focus on only the transient performance improvement may degrade the steady-state performance of the LSPMSM and vice versa. Optimization studies of LSPMSMs can be categorized in terms of optimization aim in three classifications: transient performance improvement, steady-state performance improvement, and simultaneous improvement of both transient and steady-state performances. This study indicates the impact of various variables on the LSPMSM performance improvement. The optimization review shows that starting cage optimization without considering the steady-state characteristics as constraints results in synchronous performance degradation. The steady-state performance optimization with transient characteristics as constraints results in a minor synchronous performance improvement though there is the lowest transient performance sacrifice. Multi-objective optimization, including a transient and a steady-state characteristic as individual objectives, resulted in a more optimum LSPMSM with overall performance improvement. Finally, suggestions for optimization implementation of LSPMSMs are presented for future research work.

中文翻译:


直接启动永磁同步电机性能提升的设计与优化技术综述



本文介绍了直接启动永磁同步电机 (LSPMSM) 性能改进中研究的设计方法和优化技术。使用设计技术的LSPMSM性能改进主要限于瞬态或稳态性能改进,并且仅关注瞬态性能改进可能会降低LSPMSM的稳态性能,反之亦然。 LSPMSM 的优化研究可以根据优化目标分为三类:瞬态性能改进、稳态性能改进以及瞬态和稳态性能同时改进。本研究表明了各种变量对 LSPMSM 性能改进的影响。优化审查表明,在不考虑稳态特性作为约束的情况下开始保持架优化会导致同步性能下降。以瞬态特性为约束的稳态性能优化虽然瞬态性能牺牲最低,但同步性能略有改善。多目标优化,包括瞬态和稳态特性作为单独的目标,产生了更优化的 LSPMSM,并提高了整体性能。最后,为未来的研究工作提出了 LSPMSM 的优化实施建议。
更新日期:2021-07-28
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