• DocumentCode
    2675154
  • Title

    Artificial Potential Field based Receding Horizon Control for path planning

  • Author

    Luo, Guan-chen ; Yu, Jian-qiao ; Zhang, Si-yu ; Zhang, Wei

  • Author_Institution
    Sch. of Aerosp. Eng., Beijing Inst. of Technol., Beijing, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    3665
  • Lastpage
    3669
  • Abstract
    In this work, a path planning algorithm integrating Artificial Potential Field (APF) approach and Receding Horizon Control (RHC) is proposed. The optimal solution to path planning according to APF approach and the computational efficiency in terms of RHC contribute to this algorithm. On account of the additivity of potential function, the abrupt variation of the environment, including the targets and the obstacles, is reduced to “virtual disturbance”. An additional control term is involved in path planning to escape from local minima of APF. Meanwhile, the introduction of the additional control term accomplishes the description of specified property index other than distance and control energy. The proposed approach also supports an efficient frame for future cooperative task of multiple-UAV mission.
  • Keywords
    autonomous aerial vehicles; collision avoidance; cooperative systems; multi-robot systems; predictive control; APF approach; RHC; UAV mission; artificial potential field; cooperative task; obstacle avoidance; path planning; potential function; property index; receding horizon control; virtual disturbance; Cost function; Educational institutions; Heuristic algorithms; Kinematics; Path planning; Planning; Artificial Potential Field; Model Predictive Control; Path Planning; Receding Horizon Control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2012 24th Chinese
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4577-2073-4
  • Type

    conf

  • DOI
    10.1109/CCDC.2012.6244586
  • Filename
    6244586