A coordinated control method of thrust vector and aerodynamic surfaces based on control allocation technology

Shi Jingping, Lv Yongxi, Qu Xiaobo, Shi Jing

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

Abstract

As one of the most important technologies of the advanced fighter, thrust vector technology can greatly increase the range of controlled angle of attack, and make the fighter easily realize the post stall maneuver. However currently thrust vector technology is achieved by manually manipulating the additional vector stick, which greatly increases the burden on pilots. Thus how to bring the thrust vector control into the automatic control system to reduce the pilot operation burden has become an important engineering problem to be solved. A dynamic inverse design method based on daisy chain allocation method is proposed, which integrates the thrust vector into the automatic control system, thus eliminating the thrust vector manipulating mechanism and reducing the pilot's operating burden. In addition, the method maximizes the use of the control surface and reduces the use time of the thrust vector, thus effectively reducing the maintenance cost of the engine. The simulation results of vector cylinder maneuver shows that this method can effectively achieve the coordinated control of thrust vector.

Original languageEnglish
Title of host publicationInternational Conference on Control, Automation and Systems
PublisherIEEE Computer Society
Pages618-624
Number of pages7
ISBN (Electronic)9788993215151
StatePublished - 10 Dec 2018
Event18th International Conference on Control, Automation and Systems, ICCAS 2018 - PyeongChang, Korea, Republic of
Duration: 17 Oct 201820 Oct 2018

Publication series

NameInternational Conference on Control, Automation and Systems
Volume2018-October
ISSN (Print)1598-7833

Conference

Conference18th International Conference on Control, Automation and Systems, ICCAS 2018
Country/TerritoryKorea, Republic of
CityPyeongChang
Period17/10/1820/10/18

Keywords

  • Control allocation
  • Dynamic inverse
  • Flight control
  • Nonlinear control

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