• DocumentCode
    2987625
  • Title

    Research on key problems in assigned-point recovery of UAV using parachute

  • Author

    Pengyuan Shao ; Chengfu Wu ; Songhui Ma

  • Author_Institution
    Sci. & Technol. on UAV Lab., Xi´an, China
  • fYear
    2013
  • fDate
    22-25 Oct. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Analyzing the recovery process of UAV via parachute, three key issues are concluded and studied: modeling of UAV-Parachute system, estimation of wind field and the control strategy for recovery, in which the first and the last are researched mainly. Spring of the rope is introduced to the UAV-Parachute model to reflect the attitudes of UAV and tensile forces of ropes in the process, Kalman filter is used to estimate the wind field, in the control strategy, realizability and robustness to wind-field are mainly taken account for. Taking uncertainty of wind field and random navigation error into consideration, Monte-Carlo simulation is performed for 30 times, and the Circular Error Probability (CEP) is 8.23m, which reveals satisfactory accuracy and robustness of the solution proposed.
  • Keywords
    Kalman filters; Monte Carlo methods; attitude control; autonomous aerial vehicles; path planning; CEP; Kalman filter; Monte Carlo simulation; UAV assigned-point recovery; UAV attitude; UAV-parachute system; circular error probability; control strategy; random navigation error; realizability; robustness; tensile forces; unmanned aerial vehicle; wind field estimation; Accuracy; Atmospheric modeling; Drag; Estimation; Force; Robustness; Wind speed; Assigned point recovery; UAV(Umanned Aerial Vehicle); UAV-Parachute Model; Wind Field Estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2013 - 2013 IEEE Region 10 Conference (31194)
  • Conference_Location
    Xi´an
  • ISSN
    2159-3442
  • Print_ISBN
    978-1-4799-2825-5
  • Type

    conf

  • DOI
    10.1109/TENCON.2013.6719061
  • Filename
    6719061