Multiobjective Optimization of a Five-Phase Bearingless Permanent Magnet Motor Considering Winding Area

• Published in: IEEE/ASME transactions on mechatronics Vol. 27; no. 5; pp. 2657 - 2666
• Main Authors: Shi, Zhou, Sun, Xiaodong, Lei, Gang, Tian, Xiang, Guo, Youguang, Zhu, Jianguo
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.10.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Bearingless permanent magnet synchronous motor (BPMSM); Force; multiobjective optimization; multiphase motor; Multiple objective analysis; Optimization; Permanent magnet motors; Permanent magnets; Response surface methodology; sensitivity analysis; Stator windings; Stators; Synchronous motors; Torque; Winding; Windings
• ISSN: 1083-4435; 1941-014X
• DOI: 10.1109/TMECH.2021.3121802

Due to the increasing demand for high-speed motors with high stability, bearingless motors have attracted much attention. Bearingless permanent magnet synchronous motors (BPMSMs) are a kind of motor, which uses suspension force to eliminate the motor bearings. This article proposes a five-phase BPMSM with 10 slots and 8 poles. Based on the principle of suspension force of BPMSM, an analytical expression of the suspension force is derived for the proposed BPMSM. To improve the suspension stability and torque, an optimization method consisting of a response surface model and a multiobjective optimization algorithm is employed. Not only the geometric parameters but also the winding distribution are considered in the optimization process. Finally, the effectiveness and superiority of the optimal design are verified by experiment.