Multi-Objective Optimization of an Air-Cored Axial Flux Permanent Magnet Synchronous Machine with Segmented PMs based on Support Vector Machine and Genetic Algorithm

This paper focuses on the multi-objective optimization of an air-cored axial flux permanent magnet synchronous machine (AFPMSM) with segmented PMs. Support vector machine based on radial basis kernel function is combined with orthogonal design to create the surrogate model between output performance and design parameters of a coreless AFPMSM with segmented PMs efficiently, and genetic algorithm is used to obtain the global optimal solutions to decrease the torque ripple and increase the output torque. The effectiveness of the proposed method is verified by finite element analysis.

[1]  Sang-Yong Jung,et al.  Optimal Design of an Axial Flux Permanent Magnet Synchronous Motor for the Electric Bicycle , 2016, IEEE Transactions on Magnetics.

[2]  Caixia Deng,et al.  The Beat-wave signal regression based on least squares reproducing kernel support vector machine , 2008, 2008 International Conference on Machine Learning and Cybernetics.

[3]  Jiwen Zhao,et al.  Design optimization of permanent magnet synchronous linear motor by multi-SVM , 2014, 2014 17th International Conference on Electrical Machines and Systems (ICEMS).

[4]  Siliang Lu,et al.  A New Design Optimization Method for Permanent Magnet Synchronous Linear Motors , 2016 .

[5]  Hossein Torkaman,et al.  Design Optimization of Direct-Coupled Ironless Axial Flux Permanent Magnet Synchronous Wind Generator With Low Cost and High Annual Energy Yield , 2016, IEEE Transactions on Magnetics.

[6]  Dandan Song,et al.  Multi‐objective optimisation design of air‐cored axial flux PM generator , 2018, IET Electric Power Applications.

[7]  T.A. Lipo,et al.  TORUS concept machines: pre-prototyping design assessment for two major topologies , 2001, Conference Record of the 2001 IEEE Industry Applications Conference. 36th IAS Annual Meeting (Cat. No.01CH37248).

[8]  Il-Woo Kim,et al.  Cogging Torque Minimization of a Dual-Type Axial-Flux Permanent Magnet Motor Using a Novel Optimization Algorithm , 2013, IEEE Transactions on Magnetics.

[9]  Stephan M. Winkler,et al.  Using FE Calculations and Data-Based System Identification Techniques to Model the Nonlinear Behavior of PMSMs , 2014, IEEE Transactions on Industrial Electronics.

[10]  Jianguo Zhu,et al.  A Review of Design Optimization Methods for Electrical Machines , 2017 .

[11]  Chih-Jen Lin,et al.  LIBSVM: A library for support vector machines , 2011, TIST.

[12]  Arsalan Hekmati,et al.  Optimal Design of Flux Diverter Using Genetic Algorithm for Axial Short Circuit Force Reduction in HTS Transformers , 2020, IEEE Transactions on Applied Superconductivity.