Path planning of UAV in mountain areas forest rescuing

摘要：

　　In forest rescuing,unmanned aerial vehicle(UAV)can not save all the areas at a time due to the influence of its physical properties and risk factor.So it is extremely important to bring the service efficiency of the UAV into full play.The optimal path planning problem of the UAV for forest rescuing is presented and a mathematic model of the problem is built up.On the basis of this,a fuzzy clustering-PSO-genetic algorithm is presented.The computational amount is decreased,a method combined of both the shortest distance and point clustering is adopted.The simulation test result indicates that when task number less than 30,particle swarm algorithm is superior to genetic algorithm,and vice versa.Both methods plan the same airline but time,and it can resolve the path planning problem of the UAV for water environmental monitoring effectively.

作者: Lifeng Liu Fei Yang Zhiyong Wang

作者单位: Shandong Technology University,Zibo 255049,China Institue of Geographic and Natural Resurces Research,CAS,100101,China

会议类型: 国际会议

会议名称: The 2nd International Symposium on Application of Materials Science and Energy Materials (SAMSE 2018) 第二届材料科学应用与能源材料国际研讨会2018年

会议地点: 上海

会议语种:英文

页码: 1-7

在线出版日期: 2018-12-17（万方平台首次上网日期，不代表论文的发表时间）