Multi-objective optimization design of axial-flux permanent magnet memory motor based on response surface method

• Published in: Nanjing Xinxi Gongcheng Daxue Xuebao Vol. 13; no. 5; pp. 620 - 627
• Main Authors: Yongjuan, Cao, Liangliang, Feng
• Format: Journal Article
• Language: Chinese
• Published: Nanjing Nanjing University of Information Science & Technology 01.10.2021
• Subjects: Air gaps; Axial forces; Curve fitting; Design factors; Design optimization; Design parameters; Electric potential; Electromotive forces; Finite element method; Harmonic distortion; Multiple objective analysis; Optimization; Permanent magnets; Response surface methodology; Theoretical analysis
• ISSN: 1674-7070
• DOI: 10.13878/j.enki.jnuist.2021.05.016

Here,the Response Surface Method (RSM) is used to optimize the structure of a new Axial-Flux Permanent Magnet Memory Motor ( AFPMMM) proposed in this paper. Main influencing parameters of the motor are preliminarily determined based on analysis of the electromagnetic performance equation and Orthogonal Experiment ( OE) , among which , three factors including soft magnetic ratio, number of rotor poles and air gap length, are selected as the design factors of OE.Then Electromotive Force(EMF) ,Total Harmonic Distortion (THD) and cogging torque are determined as the optimization factors,and the RSM is used as the optimization method.The Response Surface ( RS) experiment is established by using the finite element software Ansoft Maxwell and the RS design software Design Expert.The simulation parameters and fitting curves of the motor under the combination model of different design factors are obtained.Different optimization methods are combined to meet the specific design requirements in this paper.Theoretical ana