基于蛙跳模糊算法的Jiles Atherton铁心磁滞模型参数确定

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Abstract

Jiles Atherton (JA) hysteresis model is widely used in core hysteresis modeling. Its parameters determination affects the expression of core hysteresis phenomenon. A fuzzy-shuffled frog leaping algorithm (F-SFLA) is proposed in this paper to identify the parameters of JA hysteresis model. In order to speed up the convergence and avoid falling into local optimal solution of shuffled frog leaping algorithm (SFLA), a dynamical feedback factor F, which is the output of the fuzzy logic, is added to the step length of SFLA. The input of the fuzzy logic is the relative error of the measured and the calculated value at the special points (the coercive field amplitude, the dM/dH on the coercive field amplitude). F-SFLA, SFLA, particle swarm optimization algorithm (PSOA) and genetic algorithm (GA) are applied to determine the parameters of major hysteresis loop and minor hysteresis loop. Compared with hysteresis loops measured by Epstein frame measuring system, the results show that F-SFLA has less computational time and is not easy to fall into local optimal solution. Additionally, the relationship between the parameters of minor loop and magnetic flux density is analyzed, and the parameters of minor loop varying with magnetic flux density are fitted.

Key words： Jiles Atherton model fuzzy-shuffled frog leaping algorithm Epstein frame parameters of minor loop

Received: 28 January 2016 Published: 01 March 2017

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	Wang Yang
	Liu Zhizhen

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Wang Yang,Liu Zhizhen. Determination of Jiles Atherton Core Hysteresis Model Parameters Based on Fuzzy-Shuffled Frog Leaping Algorithm[J]. Transactions of China Electrotechnical Society, 2017, 32(4): 154-161.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2017/V32/I4/154

[1] 白保东, 赵晓旋, 陈德志, 等. 基于J-A模型对直流偏磁条件下变压器励磁电流的模拟及实验研究[J]. 电工技术学报, 2013, 28(增2): 162-166.
Bai Baodong, Zhao Xiaoxuan, Chen Dezhi, et al. Simulation and experiment research on transformer excitation current under DC magnetic bias based on J-A model[J]. Transactions of China Electrotechnical Society, 2013, 28(S2): 162-166.
[2] 曾建斌, 白保东, 曾庚鑫, 等. 考虑压力变化的超磁致伸缩超声换能器动态模型[J]. 电工技术学报, 2012, 27(10): 215-219.
Zeng Jianbin, Bai Baodong, Zeng Gengxin, et al. Dynamic models of giant magnetostrictive ultrasonic transducer taking account into variable pressure[J]. Transactions of China Electrotechnical Society, 2012, 27(10): 215-219.
[3] Jiles D C, Thoelke J B, Devine M K. Numerical determination of hysteresis parameters for the modeling of magnetic properties using the theory of ferromagnetic hysteresis[J]. IEEE Transactions on Magnetics, 1992, 28(1): 27-35.
[4] Chwastek K, Szczyglowski J. Identification of a hysteresis model parameters with genetic algo- rithms[J]. Mathematics and Computers in Simulation, 2006, 71(3): 206-211.
[5] Leite J V, Avila S, Batistela N J, et al. Real coded genetic algorithm for Jiles-Atherton model parameters identification[J]. IEEE Transactions on Magnetics, 2004, 40(2): 888-891.
[6] Bai B, Wang J, Zhu K. Identification of the Jiles- Atherton model parameters using simulated annealing method[C]//IEEE International Conference on Elec- trical Machines and Systems (ICEMS), Beijing, 2011: 1-4.
[7] Coelho L S, Guerra F A, Leite J V. Multiobjective exponential particle swarm optimization approach applied to hysteresis parameters estimation[J]. IEEE Transactions on Magnetics, 2012, 48(2): 283-286.
[8] Naghizadeh R A, Vahidi B, Hossein S H. Parameter identification of Jiles-Atherton model using SFLA[J]. COMPEL-the International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 2012, 31(4): 1293-1309.
[9] Jiles D C, Atherton D L. Theory of ferromagnetic hysteresis[J]. Journal of Magnetism and Magnetic Materials, 1986, 61(1-2): 48-60.
[10] Jiles D C. Frequency dependence of hysteresis curves in conducting magnetic materials[J]. Journal of Applied Physics, 1994, 76(10): 5849-5855.
[11] 李贞, 李庆民, 李长云, 等. J-A磁化建模理论的质疑与修正方法研究[J]. 中国电机工程学报, 2011, 31(3): 124-131.
Li Zhen, Li Qingmin, Li Changyun, et al. Queries on the J-A modelling theory of the magnetization processin ferromagnets and proposed correction method[J]. Proceedings of the CSEE, 2011, 31(3): 124-131.
[12] Chwastek K. Modelling of dynamic hysteresis loops using the Jiles-Atherton approach[J]. Mathematical & Computer Modelling of Dynamical Systems, 2009, 15(1): 95-105.
[13] Wang X, Thomas D W P, Sumner M, et al. Numerical determination of Jiles-Atherton model parameters[J]. COMPEL-the International Journal for Computation and Mathematics in Electrical and Electronic Engin- eering, 2009, 28(2): 493-503.
[14] Chwastek K, Szczyg?owski J. An alternative method to estimate the parameters of Jiles-Atherton model[J]. Journal of Magnetism & Magnetic Materials, 2007, 314(1): 47-51.
[15] Eusuff M M, Lansey K E. Optimization of water distribution network design using the shuffled frog leaping algorithm[J]. Journal of Water Resources Planning and Management, 2003, 129(3): 210-225.
[16] 耿超, 王丰华, 苏磊, 等. 基于人工鱼群与蛙跳混合算法的变压器Jiles-Atherton模型参数辨识[J]. 中国电机工程学报, 2015, 35(18): 4799-4807.
Geng Chao, Wang Fenghua, Su Lei, et al. Parameter identification of Jiles-Atherton model for transformer based on hybrid artificial fish swarm and shuffled frog leaping algorithm[J]. Proceedings of the CSEE, 2015, 35(18): 4799-4807.
[17] Naghizadeh R A, Vahidi B, Hosseinian S H. Modelling of inrush current in transformers using inverse Jiles-Atherton hysteresis model with a Neuro-shuffled frog-leaping algorithm approach[J]. IET Electric Power Applications, 2012, 6(9): 727- 734.
[18] Fulginei F R, Salvini A. Softcomputing for the identification of the Jiles-Atherton model parameters[J]. IEEE Transactions on Magnetics, 2005, 41(3): 1100- 1108.
[19] 李晓萍, 彭青顺, 李金保, 等. 变压器铁心磁滞模型参数辨识[J]. 电网技术, 2012, 36(2): 200-205.
Li Xiaoping, Peng Qingshun, Li Jinbao, et al. Parameter identification of hysteresis loop model for transformer core[J]. Power System Technology, 2012, 36(2): 200-205.
[20] 李超, 徐启峰. J-A模型误差修正和温度特性仿真[J]. 电工技术学报, 2014, 29(9): 232-238.
Li Chao, Xu Qifeng. Error modification and temper- ature simulation of J-A model[J]. Transactions of China Electrotechnical Society, 2014, 29(9): 232-238.
[21] Wang X, Thomas D W P, Sumner M, et al. Characteristics of Jiles-Atherton model parameters and their application to transformer inrush current simulation[J]. IEEE Transactions on Magnetics, 2008, 44(3): 340-345.