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Adaptive optimal control for an air-breathing hypersonic vehicle

  • Chao Guo*
  • , Huai Ning Wu
  • , Biao Luo
  • *Corresponding author for this work
  • Beihang University

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

Abstract

This paper considers the problem of optimal control for the longitudinal model of a generic air-breathing hypersonic vehicle (AHV). Existing works about the optimal control of AHV usually require the complete knowledge of the system dynamics. However, for realistic control systems, the dynamics may often be unknown or partially unknown, which makes it more difficult to handle the optimal controller design of the AHV. To overcome this difficulty, we propose an adaptive optimal controller synthesis algorithm, where the algebraic Riccati equation (ARE) is solved online without requiring the internal dynamics of AHV. Control inputs for the AHV include the elevator deflection and the throttle setting. The simulation results on the AHV demonstrate the effectiveness of the proposed design method.

Original languageEnglish
Title of host publicationProceedings of the 2011 IEEE 5th International Conference on Cybernetics and Intelligent Systems, CIS 2011
Pages7-12
Number of pages6
DOIs
StatePublished - 2011
Event2011 IEEE 5th International Conference on Cybernetics and Intelligent Systems, CIS 2011 - Qingdao, China
Duration: 17 Sep 201119 Sep 2011

Publication series

NameProceedings of the 2011 IEEE 5th International Conference on Cybernetics and Intelligent Systems, CIS 2011

Conference

Conference2011 IEEE 5th International Conference on Cybernetics and Intelligent Systems, CIS 2011
Country/TerritoryChina
CityQingdao
Period17/09/1119/09/11

Keywords

  • Adaptive optimal control
  • Air-breathing hypersonic vehicle
  • LQR
  • Online control

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