Parameter Identification of the Composite JA Hysteresis Model Based on Whale Optimization Algorithm
ID：270
Submission ID：134 View Protection：ATTENDEE
Updated Time：2021-12-05 15:43:14
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Poster Presentation
Start Time：2021-12-17 15:45 （Asia/Shanghai）
Duration：5min
Session：[Z] Poster Session » [Z11] Poster Session 11: Eletric Machine Design and Control
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Abstract
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.
Keywords
Composite JA model; whale optimization algorithm; parameter identification.
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