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A General Tracking Control Framework for Uncertain Systems with Exponential Convergence Performance

  • Bing Xiao
  • , Quanchao Dong
  • , Dong Ye
  • , Liang Liu
  • , Xing Huo
  • Bohai University
  • China Science and Technology Exchange Center
  • Harbin Institute of Technology

科研成果: 期刊稿件文章同行评审

23 引用 (Scopus)

摘要

A difficult problem of exponential tracking control for uncertain systems even with external disturbance is investigated. The systems studied have a general/representative form with the lossless second-order differential systems and Euler-Lagrange systems included. A general control design framework is presented using observer technique. An observer-based estimator is first developed to precisely estimate and or reconstruct the uncertainty and the disturbance, and an estimator-based controller is then developed. Globally exponential stability of the closed-loop tracking system can be achieved by that controller. Moreover, the resulted estimation error of uncertainty can be stabilized with finite-time convergence. The key advantage of this control architecture is that the controller is able to achieve a perfect tracking performance with no overshoot observed and the settling time tuned to be as less as possible. The effectiveness of the approach is validated on a rigid-flexible coupling satellite example.

源语言英语
页(从-至)111-120
页数10
期刊IEEE/ASME Transactions on Mechatronics
23
1
DOI
出版状态已出版 - 2月 2018
已对外发布

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