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Study on asymmetric deflection control scheme of SDR for flying wing aircraft

  • Northwestern Polytechnical University Xian

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

Abstract

Compared with conventional configuration aircraft, tailless flying wing configuration aircraft has a longer wing span than chord length. Aircraft with such aerodynamic characteristic has a shorter pitch arm and its pitch trim ability is insufficient when climbing at low speed and high angle of attack. Therefore, further exploring the aerodynamic efficiency of aircraft control surface and improving the pitch trim ability become a problem to be studied. The flying wing aircraft mostly adopts the split resistance rudder (SDR) symmetrical deflection to realize the stable control of the aircraft course; such an approach is simple and effective, but it reduces the control efficiency of the surface. So we want to explore the SDR asymmetric deflection control scheme to enhance the pitch control capability of the aircraft. In this paper, the dynamic modeling of SDR asymmetric deflection is studied and the mathematical model of over-drive system is established. The control effectiveness of SDR asymmetric deflection and symmetric deflection is compared by solving its attainable moment subset. The simulation results show that: Compared with symmetrical deflection, the pitch moment of asymmetric deflection control scheme increased by 47.5%. It can achieve greater pitch trim ability and control ability.

Original languageEnglish
Title of host publicationFuzzy Systems and Data Mining V - Proceedings of FSDM 2019
EditorsAntonio J. Tallon-Ballesteros
PublisherIOS Press BV
Pages680-687
Number of pages8
ISBN (Electronic)9781643680187
DOIs
StatePublished - 2 Oct 2019
Event5th International Conference on Fuzzy Systems and Data Mining, FSDM 2019 - Kitakyushu, Japan
Duration: 18 Oct 201921 Oct 2019

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume320
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Conference

Conference5th International Conference on Fuzzy Systems and Data Mining, FSDM 2019
Country/TerritoryJapan
CityKitakyushu
Period18/10/1921/10/19

Keywords

  • Attainable moment subset
  • Control allocation
  • Flight control

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