Neural robust adaptive hypersonic flight control without back-stepping

  • Shixing Wang
  • , Fuchun Sun
  • , Yongquan Zhang
  • , Bin Xu
  • , Yiwei Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, one robust adaptive controller is proposed for hypersonic flight dynamics with high gain observer (HGO) and neural networks (NNs). For the attitude subsystem, it contains flight path angle, pitch angle and pitch rate. To avoid the complex back-stepping design, the dynamics are transformed into the normal feedback form. With HGO estimating the newly defined states, the controller is proposed with error feedback, NN approximation and the robust item. It is proved that the NN weights and filtered tracking error are guaranteed in the semiglobal sense. The simulation with March 15 is conducted to show the effectiveness of the proposed method.

Original languageEnglish
Title of host publication2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2468-2473
Number of pages6
ISBN (Electronic)9781479946990
DOIs
StatePublished - 12 Jan 2015
Event6th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014 - Yantai, China
Duration: 8 Aug 201410 Aug 2014

Publication series

Name2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014

Conference

Conference6th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014
Country/TerritoryChina
CityYantai
Period8/08/1410/08/14

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