Affiliations: [a] School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China | [b] School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China
Correspondence:
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Corresponding author: R. Guo, School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China. E-mail: guorong@bucea.edu.cn, 18813189123@163.com
Abstract: In this paper, we propose an order reduction method which can be applied in the approximated analytical model for linear permanent magnet machines (LPMMs). The proposed model takes the periodic boundary condition into account the Poisson and Laplace equations, hence, the analytical solution requires low harmonic orders in each subdomain. The magnetic results show that the proposed model can maintain high accuracy while taking low computational time. 2D finite element computations, as well as measurements, validate the proposed model. The proposed model in this paper can also be further applied in permanent magnet machines with high pole and slot combination, to reduce the computational time.
Keywords: Linear permanent magnet machine, magnetic field predict, improved analysis method
