Affiliations: [a] School of Electrical Engineering, Southeast University, Nanjing, China | [b] School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China | [c] School of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China | [d] Faculty of Electrical Engineering, Delft University of Technology, Delft, Netherlands
Correspondence:
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Corresponding author: Yunkai Huang, School of Electrical Engineering, Southeast University, Nanjing, 210096, China. E-mail: huangyk@seu.edu.cn
Abstract: In this article, an efficient multi-objective optimization strategy for the Halbach array permanent magnet synchronous machine (PMSM) is developed by taking into consideration the nonlinear B-H behavior of soft magnetic materials. Based on the harmonic modeling (HM) technology, the electromagnetic performances (EPs) of the Halbach array PMSM can be computed. To specifically model the local magnetic saturation, the stator teeth are separated into several annular layers, and each tooth is further divided into several regions along the tangential direction. Then, the parameters of the Halbach array PMSM are optimized utilizing combined nonlinear semi-analytical model (SAM) and non-dominated sorting genetic algorithm II (NSGA-II). To validate the effectiveness and accuracy of the developed optimization scheme, a Halbach array prototype is then manufactured in accordance with the optimization results. The multi-objective rapid optimization strategy developed in this article, which includes but is not limited to Halbach array permanent magnet (PM) machines, serves as a reference for the design and optimization of various PM machines.
Keywords: Halbach array, permanent magnet synchronous machine (PMSM), magnetic saturation, non-dominated sorting genetic algorithm II (NSGA-II)
