On Modeling and Discrete Particle Swarm Optimization for Task Assignment of Cooperating UAVs

摘要：

Task assignment of cooperating multi Unmanned Aerial Vehicles (UAVs) is a hot problem recently. Considering the main factors include the attack order of UAV, kill probability, survival probability and attack path, the target assignment model in different stages for multi-UAVs is established. Discrete particle swarm optimization(DPSO) algorithm is introduced to solve the complex task assignment problem. Each particle’s position is expressed in two multi-dimension vectors and the vectors evolve in different manner synchronously. The simulation results show that this method is satisfying.

关键词： Unmanned Aerial Vehicle(UAV) Cooperation Task assignment Discrete particle swarm optimization algorithm(DPSO)

作者: GAO Na QU Zhi-hong LI Xiang-jun

作者单位: Railway Professional Technology College, Xi’an Shanxi 710014, China Air Force Engineering University, Xian Shanxi 710038, China No.95596 Unit of PLA, Xian Shanxi 710306, China

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 1044-1049

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）