基于粒子群优化的三维突防航迹规划仿真研究

提出了一种基于粒子群优化的三维突防航迹规划方法并进行了仿真验证。通过引入最小威胁曲面的概念生成三维航迹搜索空间,利用一个有限项的多项式函数来逼近最小威胁曲面中的三维航迹在二维水平面内的投影,从而原来的规划问题简化为在一个一元函数多项式系数空间中的搜索寻优。利用粒子群优化,将约束条件和搜索算法相结合,能有效减小搜索空间,提高效率。仿真结果表明,生成的航迹具有地形跟随、地形回避和威胁回避的功能。

The Simulation Study of PSO Based 3-D Vehicle Route Planning for Low Attitude Penetration

A 3-D vehicle route planning method based on PSO (Particle Swarm Optimization) for low attitude penetration is proposed and simulated. Introducing the concept of SOMR (Surface of Minimum Risk) forms the search space. And a polynomial function with finite terms is used to approach the horizon projection of the 3-D route in the SOMR. So the original planning problem is simplified to search the best series of values in the coefficient space of the polynomial function. Particle swarm optimization is introduced to solving this optimization problem. Incorporating constrains into the algorithms, a desirable vehicle route can be generated and the efficiency can be greatly improved. Via the method mentioned above, the generated route has the function of terrain following, terrain avoidance and threat avoidance. Simulation results are provided to illustrate the idea.