基于粒子群优化算法的航迹规划与重规划

Route Planning and Re-planning Based on PSO Algorithm

航迹规划与重规划是驾驶员智能辅助决策支持系统中的重要组成部分。通过分析描述航迹状态规划空间,提出一种基于粒子群的航迹规划算法,该方法通过使用特定的粒子群编码方式和适当的适应度函数的构造,可以在满足航迹约束的条件下,有效利用各种环境信息,进行在线实时航迹规划,并最终得到一条近似最优航迹。仿真结果表明了该方法的有效性。

Route planning and re-planning is an important part in Pilot Assistant Artificial Intelligent System（PAAIS）. By analying the space ot route planning, a new Particle Swarm Optimization Route Planner（PSORP） algorithm for air vehicle is proposed. Specific particle swarm coding representation and suitable fitness function is used in this algorithm. It can process each kind of the mission restriction in real time, and finally obtaines an approximate flight path. Simulation results show the feasibility of the approach.