基于粒子群优化的高超声速飞行器航迹规划

Flight Path Planning of Hypersonic Vehicle Based on PSO

提出了一种基于粒子群优化算法的高超声速飞行器航迹规划方法并进行了仿真验证。首先计算了高超声速飞行器的最小转弯半径,然后建立威胁模型,将威胁模型投影到赤道平面内,利用一个有限项的多项式函数来逼近实际航迹在赤道平面内的投影,使航迹规划问题简化为在一个多项式系数空间中的搜索寻优问题。利用粒子群优化算法,鉴于高超声速飞行器特点,规划得到赤道平面内的航迹,根据对应关系,最后得到实际航迹。仿真结果表明,生成的航迹自动避开了威胁。

A flight path planning method based on PSO （Particle Swarm Optimization） for hypersonic vehicle was proposed and simulated First, minimum turning radius of hypersonic vehicle was calculated Second, threat model was established. The model was projected into the Equatorial Plane. And a polynomial function with finite terms was used to approach the projection of actual flight path in the Equatorial Plane. So the flight path planning problem was simplified to the problem of searching the best series of values in the coefficient space of the polynomial function. Flight path in the Equatorial Plane could be generated by particle swarm optimization considering hypersonic vehicle ＇s characteristic. The actual flight path could be generated according to corresponding relation. Simulation results show that the generated flight oath can automatically avoid threat.