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
Link To Document