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Path planner for unmanned aerial vehicles based on modified PSO algorithm

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4 Author(s)
Zhu Hongguo ; Nat. Key Lab. of Integrated Inf. Syst. Technol., Chinese Acad. of Sci., Beijing ; Zheng Changwen ; Hu Xiaohui ; Li Xiang

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.

Published in:

Information and Automation, 2008. ICIA 2008. International Conference on

Date of Conference:

20-23 June 2008