Abstract
As a preliminary study for bearingless permanent magnet slice motor (BPMSM) development, an effective means for BPMSM mechanical structure optimization is proposed here by developing a virtual prototype based on Ansoft Maxwell to realize overall performance improvements. First, the sensitivity evaluation index of the candidate mechanical structural parameters for individual BPMSM performance is constructed for selection. Orthogonal tests are performed to determine the dominant mechanical structural parameters to be optimized by utilizing monitored data based on Ansoft Maxwell. A linear regression model of the mechanical structural parameters for specific performances is obtained by utilizing the gradient descent method. Then, a multi-structural optimization regression model of the selected dominant mechanical structural parameters for overall performance is established using an analytic hierarchy process and solved using a genetic algorithm. The simulation results show that the performance of the optimized BPMSM has been comprehensively improved. Specifically, the passive axial stiffness, passive tilting stiffness, force-current coefficient, and motor efficiency increased by 56.4%, 71.3%, 19.6%, and 8.7%, respectively.
Highlights
As a new type of bearingless motor, a bearingless permanent magnet slice motor (BPMSM), inherits the advantages of wear-free, maintenance-free, long life, low noise and high precision, and makes up for the shortcomings of a complex structure and high cost [1,2,3]
Researches on the optimization of BPMSMs has become a new hotspot in the fields of miniaturization, high-sealing performance, and ultra-cleanliness, which are of great significance
As a preliminary study of BPMSMs, this paper presents the sensitivity evaluation index of candidate mechanical structural parameters for specific performance based on a virtual prototype developed in Ansoft Maxwell
Summary
As a new type of bearingless motor, a bearingless permanent magnet slice motor (BPMSM), inherits the advantages of wear-free, maintenance-free, long life, low noise and high precision, and makes up for the shortcomings of a complex structure and high cost [1,2,3] Nowadays, it has been widely applied in the medical industry, IC manufacturing, and aerospace. As a preliminary study of BPMSMs, this paper presents the sensitivity evaluation index of candidate mechanical structural parameters for specific performance based on a virtual prototype developed in Ansoft Maxwell.
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