Accurate Modeling and Optimization of Electromagnetic Forces in an Ironless Halbach-Type Permanent Magnet Synchronous Linear Motor

Zhaolong Sun, Guangyong Jia, Chuibing Huang (), Weichang Zhou, Yinhao Mao and Zhaoran Lei
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Zhaolong Sun: School of Electrical Engineering, Naval University of Engineering, Wuhan 430033, China
Guangyong Jia: School of Electrical Engineering, Naval University of Engineering, Wuhan 430033, China
Chuibing Huang: School of Electrical Engineering, Naval University of Engineering, Wuhan 430033, China
Weichang Zhou: School of Electrical Engineering, Naval University of Engineering, Wuhan 430033, China
Yinhao Mao: School of Electrical Engineering, Naval University of Engineering, Wuhan 430033, China
Zhaoran Lei: School of Electrical Engineering, Naval University of Engineering, Wuhan 430033, China

Energies, 2023, vol. 16, issue 15, 1-19

Abstract: In order to solve the electromagnetic force optimization problem of a high-power-density ironless Halbach-type permanent magnet synchronous linear motor, this paper adopts an electromagnetic force optimization method based on magnetic field analysis, electromagnetic force modeling, and genetic algorithm optimization: Firstly, the magnetic field of the Halbach permanent magnet array is solved by the combination of the equivalent magnetization strength method and the pseudo-periodic method, which takes into account the influence of the edge effect of the secondary magnetic field, and the magnetic field of the primary winding is solved by Fourier series expansion method. Secondly, the Maxwell tensor method is used to establish the functional relationship between the electromagnetic thrust and the main structural parameters of the unilateral motor. Finally, based on the parameter sensitivity analysis of the optimized variables and the response surface calculation, the optimal combination of the optimized variables to meet the optimization objective is found by a genetic algorithm. This method of the accurate modeling and optimization of an electromagnetic force can accurately calculate the motor air gap magnetic field and electromagnetic thrust, and the optimization speed is fast, which can greatly save time. The optimization results show that, under the premise of constant input power, the unilateral average thrust of the motor is increased by 18.75%, the peak value of thrust fluctuation is decreased by 30.27%, and the results match well with the finite element results, which verifies the correctness of the optimization results of the electromagnetic force and the reasonableness of the optimization method.

Keywords: ironless Halbach-type permanent magnet synchronous linear motor; magnetic field analysis; electromagnetic force modeling; genetic algorithm; electromagnetic force optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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