• DocumentCode
    2363459
  • Title

    Study of deep-stall characteristics and longitudinal special phenomena of T-tail aircraft

  • Author

    Wang, Pei ; Shi, Zhongke

  • Author_Institution
    Coll. of Autom., Northwestern Polytech. Univ., Xi´´an, China
  • fYear
    2010
  • fDate
    4-7 Aug. 2010
  • Firstpage
    59
  • Lastpage
    64
  • Abstract
    Deep-stall seriously threatens the safety of aircrafts; a detailed research has been carried out to make a full study on the influencing factors in avoidance of flight accidents in this paper. The Bifurcation analysis and catastrophe theory method (BACTM) is employed to analyze the deep-stall characteristics of four different configuration T-tail aircrafts with various pitching-moment curves, and some potential nonlinear motion phenomena are given using the phase plane α - q and time histories of the angle of attack. In addition, taking into account the actual flight conditions, effect of atmospheric turbulence is also investigated. The results indicate that the reversal slope of pitching-moment curves may cause the deep-tall condition. Other influencing factors include the depth, the width, the location of the reversal slope, as well as the control-effectiveness of the elevator. Moreover, atmospheric turbulence speeds up aircrafts entering the deep stall condition. The research results have some reference values for the stall recovery.
  • Keywords
    aerodynamics; aerospace accidents; aerospace safety; aircraft; bifurcation; catastrophe theory; BACTM; T-tail aircraft; actual flight conditions; aircrafts safety; atmospheric turbulence; bifurcation analysis; catastrophe theory method; deep stall characteristics; deep stall condition; flight accidents avoidance; longitudinal special phenomena; pitching moment curves; potential nonlinear motion phenomena; Aircraft; Atmospheric modeling; Bifurcation; Elevators; Mathematical model; Numerical stability; Stability analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2010 International Conference on
  • Conference_Location
    Xi´an
  • ISSN
    2152-7431
  • Print_ISBN
    978-1-4244-5140-1
  • Electronic_ISBN
    2152-7431
  • Type

    conf

  • DOI
    10.1109/ICMA.2010.5588718
  • Filename
    5588718