基于威胁建模的PSO 在UAV 3 维航路规划中的应用

为解决无人机(unmanned aerial vehicle,UAV)3维航路规划问题,采用粒子群优化算法(particle swarm optimization,PSO)进行无人机的3维航路规划.对无人机飞行环境中各种威胁进行数学建模,考虑了航程的影响,得出基于航路长度和威胁的航路评价函数.运用粒子群优化算法进行3维航路规划仿真测试,并提出了在天基信息支援下进行无人机二次航路规划的设想.仿真结果表明,该方法具有可行性.

Application of PSO Based on Threat Modeling in 3D Route Planning of UAV

In order to solve the problem of 3D route planning for UAV, use PSO algorithm to carry out UAV 3D route planning. Establish math model for threat in UAV flight environment. Considering influence of route, acquire route evaluation function based on route length and threat. Use PSO algorithm to carry out 3D route planning simulation test, and put forward thinking of the UAV second route planning with space-based information support. The simulation results show that the method is feasible.