Title :
Path planner for unmanned aerial vehicles based on modified PSO algorithm
Author :
Hongguo, Zhu ; Changwen, Zheng ; Xiaohui, Hu ; Xiang, Li
Author_Institution :
Nat. Key Lab. of Integrated Inf. Syst. Technol., Chinese Acad. of Sci., Beijing
Abstract :
Most path planning algorithms existed have disadvantages in space representation, constraints handling or computation efficiency. Combining particle swarm optimization with path planning problem for unmanned aerial vehicles (UAVs), a new path planner for aerial vehicles based on modified PSO algorithm is presented. Path planning problem is modeled as a 5-element array. Incorporating constraints into fitness evaluation reduces search space while a modified PSO algorithm is introduced to improve global optimization performance. Experiment results demonstrate that the proposed method is able to solve path planning problem effectively and provide a feasible path in a short time.
Keywords :
aircraft; particle swarm optimisation; path planning; remotely operated vehicles; particle swarm optimization; path planner; path planning problem; space representation; unmanned aerial vehicles; Artificial intelligence; Evolutionary computation; Intelligent robots; Navigation; Orbital robotics; Particle swarm optimization; Path planning; Robot kinematics; Space technology; Unmanned aerial vehicles;
Conference_Titel :
Information and Automation, 2008. ICIA 2008. International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-2183-1
Electronic_ISBN :
978-1-4244-2184-8
DOI :
10.1109/ICINFA.2008.4608059