Path Planner for Unmanned Aerial Vehicles Based on Modified PSO Algorithm

摘要：

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.

作者: Zhu Hongguo Zheng Changwen Hu Xiaohui Li Xiang

作者单位: National Key Laboratory of Integrated Information System Technology Institute of Software,Chinese Ac National Key Laboratory of Integrated Information System Technology Institute of Software,Chinese Ac College of Electronic Science and Engineering National University of Defense Technology Changsha,Hun

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 541-544

在线出版日期: 2008-06-20（万方平台首次上网日期，不代表论文的发表时间）