Rate-Dependent Modeling of Giant Magnetostrictive Actuators with a Modified Prandtl-lshlinskii Model
Rate-Dependent Modeling of Giant Magnetostrictive Actuators with a Modified Prandtl-lshlinskii Model
カテゴリ: 研究会(論文単位)
論文No: CT23091
グループ名: 【C】電子・情報・システム部門 制御研究会
発行日: 2023/09/08
タイトル(英語): Rate-Dependent Modeling of Giant Magnetostrictive Actuators with a Modified Prandtl-lshlinskii Model
著者名: Wang Yongchan(Zhongyan Univ. of Tech.),Wen Shengjun(Zhongyan Univ. of Tech.)
著者名(英語): Yongchan Wang(Zhongyan Univ. of Tech.),Shengjun Wen(Zhongyan Univ. of Tech.)
キーワード: Giant magnetostrictive actuator|Modified Prandtl-Ishlinskii model|Hammerstein model|Rate-dependent hysteresis|Autoregressive model|Simulation|Giant magnetostrictive actuator|Modified Prandtl-Ishlinskii model|Hammerstein model|Rate-dependent hysteresis|Aut
要約(日本語): Rate-dependent hysteresis nonlinearity for giant magnetostrictive actuators (GMA, Giant Magnetostrictive Actuators). In this paper, the Prandtl-Ishlinskii (PI) model of the giant magnetostrictive drive is established. By modifying the Play operator, a modified PI (MPI, Modified Prandtl-Ishlinskii) model that can describe the asymmetric hysteresis phenomenon is designed, and the genetic algorithm is used to identify MPI model parameters. Compared with the traditional PI model, the MPI model can better fit the asymmetric hysteresis curve. The Hammerstein model is used to represent the static nonlinear part and the linear dynamic part in Hammerstein with the MPI model and the external factor input autoregressive model (ARX), so that the model can better describe the rate correlation of GMA in the frequency range of 1~100Hz Hysteretic nonlinearity.
要約(英語): Rate-dependent hysteresis nonlinearity for giant magnetostrictive actuators (GMA, Giant Magnetostrictive Actuators). In this paper, the Prandtl-Ishlinskii (PI) model of the giant magnetostrictive drive is established. By modifying the Play operator, a modified PI (MPI, Modified Prandtl-Ishlinskii) model that can describe the asymmetric hysteresis phenomenon is designed, and the genetic algorithm is used to identify MPI model parameters. Compared with the traditional PI model, the MPI model can better fit the asymmetric hysteresis curve. The Hammerstein model is used to represent the static nonlinear part and the linear dynamic part in Hammerstein with the MPI model and the external factor input autoregressive model (ARX), so that the model can better describe the rate correlation of GMA in the frequency range of 1~100Hz Hysteretic nonlinearity.
本誌: 2023年9月11日制御研究会
本誌掲載ページ: 41-46 p
原稿種別: 英語
PDFファイルサイズ: 734 Kバイト
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