Parameter Identification of the Composite JA Hysteresis Model Based on Whale Optimization Algorithm

被引：0

作者：

Wang, Qian ^{[1
]}

Li, Siquan ^{[1
]}

Long, Yingkai ^{[1
]}

Jiang, Xiping ^{[1
]}

Luo, Xiaoxiao ^{[1
]}

Li, Yongfu ^{[1
]}

Liu, Jia ^{[1
]}

Shen, Zeliang ^{[2
]}

Hu, Xiaoxu ^{[2
]}

Wang, Jingang ^{[2
]}

Tian, Tian ^{[3
]}

Zhou, Yuan ^{[3
]}

机构：

[1] Chongqing Electric Power Research Institute, Chongqing,401121, China

[2] Chongqing University, Chongqing,40044, China

[3] Chongqing Electric Power Design Institute Co.Ltd, Chongqing,401121, China

来源：

2021 IEEE 2nd China International Youth Conference on Electrical Engineering, CIYCEE 2021 | 2021年

关键词：

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Demagnetization - Hysteresis loops - Magnetic materials - Optimization - Parameter estimation

引用

共 8 条

[1] Inverse Mohr-Coulomb soil parameter identification of an earth and rockfill dam by genetic algorithm optimization
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[2] Parameter Inversion for Composite Interlayer Cohesive Zone Model Based on Bayesian Inference
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[3] SOC estimation method based on IUPF algorithm and variable parameter battery model
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Dongnan Daxue Xuebao, 1 (54-62):
[4] The treatment of multicollinearity in repeated trading model to construct the composite index: A solution based on parameter improvement
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Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 2022, 42 (06): : 1434 - 1447
[5] Hyper-Parameter Optimization by Using the Genetic Algorithm for Upper Limb Activities Recognition Based on Neural Networks
Faculty of Information Technology, Beijing University of Technology, Beijing, China
不详
IEEE Sensors J., 1600, 2 (1877-1884):
[6] Parameter optimization of circumferential grooves on the permanent magnet drive based on the response surface methodology and the adaptive genetic algorithm
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Wang, Dazhi
Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2015, 36 (03): : 601 - 607
[7] Research on Multi-beam Depth Measurement Optimization Model based on Genetic Algorithm
Wang, Haozhe
Shi, Yuting
Liu, Dan
Zhou, Xinyuan
Zhao, Lingxuan
Yang, Zhengcheng
Proceedings of SPIE - The International Society for Optical Engineering, 2024, 13219
[8] A particle swarm optimization algorithm for Bayesian network structure learning based on chain model
Wang, Xing
Zhao, Xuewu
Lan, Yihua
Journal of Chemical and Pharmaceutical Research, 2014, 6 (05) : 1706 - 1713

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