Robust Q-parametrisation control for nonlinear magnetic bearing systems with imbalance based on TSK fuzzy model

M. Fekry, Abdelfatah M. Mohamed, Mohammed Fanni

研究成果: ジャーナルへの寄稿学術誌査読

6 被引用数 (Scopus)

抄録

This paper presents a methodology for designing a robust gain scheduled Takagi-Sugeno-Kang (TSK) fuzzy Q-parametrisation controller for nonlinear magnetic bearing systems subjected to imbalance sinusoidal disturbance. First, the mathematical model of nonlinear magnetic bearing is presented. Second, a set of Q-parametrisation observer based stabilising controllers is obtained based on linearisation of the nonlinear system at different operating points. Third, the structure that combines the Q-parametrisation observer based controller (OBC) with TSK fuzzy modelling to overcome the model nonlinearity and expand the operating envelopes is explained. Fourth, the proposed controller is applied to a nonlinear magnetic bearing system. Finally, the simulation results are presented. The results clearly show that the proposed controller is able to merge the intelligence of fuzzy systems with robustness of Q-parametrisation control to extend operating range up to more than 80% of gap length and reject imbalance sinusoidal disturbances at different operating speeds.

本文言語英語
ページ(範囲)195-208
ページ数14
ジャーナルInternational Journal of Modelling, Identification and Control
29
3
DOI
出版ステータス出版済み - 2018
外部発表はい

!!!All Science Journal Classification (ASJC) codes

  • モデリングとシミュレーション
  • コンピュータ サイエンスの応用
  • 応用数学

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