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Design of a gust-response-alleviation online control system based on neuro-fuzzy theory

  • Shanghai Jiao Tong University
  • School of Aeronautics and Astronautics
  • School of Aeronautic Science and Engineering
  • University of New Hampshire
  • Program in Integrated Applied Mathematics

科研成果: 期刊稿件文章同行评审

摘要

A novel online control strategy using neuro-fuzzy theory for gust-response alleviation is described, and a gustresponse- alleviation online-adjusted control system is designed based on this approach. Unlike the traditional adaptive control systems, the gust-response-alleviation online control system, which consists of one host control system and one online control system, can appropriately adjust the parameters of each controller according to different real models and flight situations. The simulations show that the system is robust. For different types of gusts and structures with errors and even time delay, the online control system can always provide stable gust-alleviation effects and increase the gust-alleviation efficiencies. Moreover, the new system is able to restrain the overshoot generated by the host control system.

源语言英语
页(从-至)599-609
页数11
期刊Journal of Aircraft
50
2
DOI
出版状态已出版 - 2013

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