Parameter Identification of the Composite JA Hysteresis Model Based on Whale Optimization Algorithm
编号:270 访问权限:仅限参会人 更新:2021-12-05 15:43:14 浏览:366次 张贴报告

报告开始:2021年12月17日 15:45(Asia/Shanghai)

报告时间:5min

所在会场:[Z] Poster Session [Z11] Poster Session 11: Eletric Machine Design and Control

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摘要
The Jlies-Atherton (JA) hysteresis model has the advantages of few model parameters and clear physical meanings, which is widely used in the hysteresis simulations. However, the classic JA models consider little about the complicated losses during the excitation and demagnetization process. In addition, it is hard for existing parameter identification algorithms to meet the needs of the model establishment. This paper proposed a composite JA hysteresis simulation model considering the excitation loss, eddy current loss, and additional loss. The whale optimization algorithm (WOA) is used in the parameter identification of the model to increase accuracy and reliability. The hysteresis measurement module was used to measure the hysteresis loops, which were used to be the learning materials for the optimization algorithm. The simulation and test results were in good agreement and had a similarity of 97.36%, which proved the effectiveness of this method.
 
关键词
Composite JA model; whale optimization algorithm; parameter identification.
报告人
Zeliang Shen
Chongqing Electric Power Research Institute

稿件作者
Qian Wang Chongqing Electric Power Research Institute
Siquan Li Chongqing Electric Power Research Institute
Yingkai Long Chongqing Electric Power Research Institute
Xiping Jiang Chongqing Electric Power Research Institute
Xiaoxiao Luo Chongqing Electric Power Research Institute
Yongfu Li Chongqing Electric Power Research Institute
Jia Liu Chongqing Electric Power Research Institute
zeliang shen Chongqing university
XiaoXu Hu Master of Chongqing University
Jingang Wang Chongqing university
Tian Tian Chongqing Electric Power Design Institute Co.Ltd
Yuan Zhou Chongqing Electric Power Design Institute Co.Ltd
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重要日期
  • 会议日期

    07月11日

    2023

    08月18日

    2023

  • 11月10日 2021

    初稿截稿日期

  • 12月10日 2021

    注册截止日期

  • 12月11日 2021

    报告提交截止日期

主办单位
IEEE IAS
承办单位
IEEE IAS Student Chapter of Southwest Jiaotong University (SWJTU)
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
IEEE PELS (Power Electronics Society) Student Chapter of HUST
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