• DocumentCode
    114483
  • Title

    Optimal bank reversal for high-lifting reentry vehicles

  • Author

    Zixuan Liang ; Qingdong Li ; Zhang Ren ; Jian Chen ; Zihao Xiong

  • Author_Institution
    Sci. & Technol. on Aircraft Control Lab., Beihang Univ., Beijing, China
  • fYear
    2014
  • fDate
    15-17 Dec. 2014
  • Firstpage
    965
  • Lastpage
    969
  • Abstract
    For high-lifting reentry vehicles, large tracking errors appear during the process of bank reversals, especially when the angular rate of the bank angle is low. An optimal bank reversal (OBR) approach is proposed in this paper mainly to solve this problem. The conventional bank reversal (CBR) which would cause large altitude tracking errors is simulated and analyzed on the high-lifting common aero vehicle (CAV) model. To minimize the tracking error during the bank reversal, a pre-control phase is added in the bank reversal process. This new OBR is designed based on the numerical trajectory prediction, and solved as a two-parameters optimization problem. Finally, in both nominal and dispersion cases, the CBR and the OBR approaches are simulated and compared. The proposed OBR approach is shown to own smaller altitude tracking errors during bank reversals, higher guidance precision for the terminal condition, and also good real-time performance.
  • Keywords
    numerical analysis; optimal control; optimisation; space vehicles; trajectory control; CAV model; CBR approach; OBR approach; altitude tracking errors; conventional bank reversal; dispersion cases; guidance precision; high-lifting common aero vehicle model; high-lifting reentry vehicles; nominal cases; numerical trajectory prediction; optimal bank reversal; precontrol phase; real-time performance; terminal condition; two-parameters optimization problem; Acceleration; Aerodynamics; Dispersion; Optimization; Trajectory; Vehicle dynamics; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-1-4799-7746-8
  • Type

    conf

  • DOI
    10.1109/CDC.2014.7039506
  • Filename
    7039506