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 :
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