多平台协同突防航路规划

Path Planning for Multi-platform Cooperative Salvo Attack

为解决多平台协同突防航路规划问题,提出协同突防航路规划方法框架。通过控制点基于分段保形二次插值描述与生成航路,建立包含平均航路长度、航路长度标准差、累积威胁程度的优化指标,并合成为加权综合目标函数,给出包含转弯半径判断、航路交叉判断以及障碍冲突判断的约束条件,通过粒子群优化算法进行航路控制点优化求解。在不同场景下进行航路规划求解,并分析了优化参数对于方法求解的影响。结果表明,方法能够给出可行且优化的协同突防航路。同时,优化指标的选取与约束条件的建立和航路规划过程解耦,可以在本方法框架的基础上根据实际问题需求自行配置优化指标与约束条件,一定程度上拓展了方法的通用性。

In order to solve the problem of path planning for multi-platform cooperative salvo attack,a framework of cooperative salvo attack planning method was proposed.The path was described and generated based on control points by using shape-preserving piecewise cubic interpolation method.The optimization index including the average path length,the standard deviation of path length and the cumulative threat degree was established and synthesized into a weighted comprehensive objective function.The constraints include the judgment of turn radius,path cross conflict and obstacle conflict.The control points of path were optimized with particle swarm optimization method.The path planning was solved in different scenarios,and the influence of optimization parameters on the solution was analyzed.The results show that the method can give feasible and optimized path for salvo attack.The selection of optimization indexes and the establishment of constraints are decoupled from the path planning process.Based on the framework of the method,optimization indexes and constraints can be configured according to the practical problem requirement,and the versatility of the method can be expanded.