电工技术学报2017，Vol.32Issue(4)：154-161,8.
基于蛙跳模糊算法的Jiles Atherton铁心磁滞模型参数确定
Determination of Jiles Atherton Core Hysteresis Model Parameters Based on Fuzzy-Shuffled Frog Leaping Algorithm
摘要
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 factorF, 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.关键词
Jiles/Atherton模型/蛙跳模糊算法/爱泼斯坦方圈/局部磁滞回线参数Key words
Jiles Atherton model/fuzzy-shuffled frog leaping algorithm/Epstein frame/parameters of minor loop分类
信息技术与安全科学引用本文复制引用
王洋,刘志珍..基于蛙跳模糊算法的Jiles Atherton铁心磁滞模型参数确定[J].电工技术学报,2017,32(4):154-161,8.基金项目
山东省科技发展计划资助项目(13ny15). （13ny15）
