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Performance Prediction of Switched Reluctance Motor using Improved Generalized Regression Neural Networks for Design Optimization 被引量:7

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摘要 Since practical mathematical model for the design optimization of switched reluctance motor(SRM)is difficult to derive because of the strong nonlinearity,precise prediction of electromagnetic characteristics is of great importance during the optimization procedure.In this paper,an improved generalized regression neural network(GRNN)optimized by fruit fly optimization algorithm(FOA)is proposed for the modeling of SRM that represent the relationship of torque ripple and efficiency with the optimization variables,stator pole arc,rotor pole arc and rotor yoke height.Finite element parametric analysis technology is used to obtain the sample data for GRNN training and verification.Comprehensive comparisons and analysis among back propagation neural network(BPNN),radial basis function neural network(RBFNN),extreme learning machine(ELM)and GRNN is made to test the effectiveness and superiority of FOA-GRNN.
出处 《CES Transactions on Electrical Machines and Systems》 2018年第4期371-376,共6页 中国电工技术学会电机与系统学报(英文)
基金 This work was supported in part by the National Natural Science Foundation of China under Grant61503132 and Grant51477047 the Hunan Provincial Natural Science Foundation of China under Grant2015JJ5029.
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  • 1夏长亮,王明超,史婷娜,郭培健.基于神经网络的开关磁阻电机无位置传感器控制[J].中国电机工程学报,2005,25(13):123-128. 被引量:71
  • 2周波,任立立,韦海荣.基于等效电感方法的电磁式双凸极电机系统简化控制模型[J].中国电机工程学报,2005,25(14):109-114. 被引量:51
  • 3甘卫红,林辉,齐蓉.基于结构参数的开关磁阻电机非线性模型[J].现代电力,2005,22(5):47-51. 被引量:5
  • 4谢德馨,阎秀恪,张奕黄,曾建斌.旋转电机绕组磁链的三维有限元分析[J].中国电机工程学报,2006,26(21):143-148. 被引量:23
  • 5Radimov N, Ben-Hail N, Rabinaovici R. Simple model of switched reluctance machine based on only aligned and unaligned position data[J]. IEEE Transactions on Magnetics, 2004, 40(3). 1562-1572.
  • 6Chi H P, Lin R L, Chen J F. Simplified flux linkage model for switched reluctance motors[J]. IEE Proceedings of Electrical Power Application, 2005, 152(3): 577-583.
  • 7Xue Xiangdang, Cheng K W E, Ho S L. Simulation of switched reluctance motor drives using two dimensional bicubic spline [J]. IEEE Transactions on Energy Conversion, 2002, 17(4): 471-477.
  • 8Elmas C, Sagirolu S. Modelling of a nonlinear switched reluctance drive based on artificial neural networks[C]. Power Electronics and Variable speed Drive Conference, Turkey, 1994.
  • 9Daldaban F, Ustkoyuncu N, Guny K. Phase inductance estimation for switched reluctance motor using adaptive neuro-fuzzy inference system[J]. Energy Conversion and Management, 2006, 47(5): 485-493.
  • 10Soares F, Costa B P J. Simulation of a 6/4 switched reluctance motor based on Matlab/Simulink environment[J]. IEEE Transactions on Aerospaceand Electronic Systems, 2001, 37(3): 989-1007.

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