基于改进粒子群算法的对地攻击最优航迹规划

提出了一种基于粒子群算法的战斗机空地攻击航迹规划模型,针对传统算法收敛精度低的问题,基于算法参数和迭代公式做了改进.通过构造战斗机作战攻击中面对敌防空火力、地形等威胁要素和战斗机技战术性能等各种约束条件,设计了一种适用于战斗机航迹性能评价函数作为粒子群的适应度函数,用VC++.NET进行算法仿真并将最优航迹在MATLAB中显示.仿真结果表明:改进后的粒子群算法规划出的最优航迹能较好地实现威胁规避,较传统算法收敛精度高,运算速度快,满足了战斗机机动性能约束和航程较短要求,且规划的效率和精度较高.

Air to Ground Attack Route Planning by Using Method of PSO

According to the route planning of air-to-ground attack of a fighter, this paper proposes a model of programming the air-to-ground airline based on PSO. Because the traditional arithmetic is low in constringency precision, based on the algorithm parameters and iterative expressions, the traditional algorithm is improved. Through constructing a variety of constrain conditions during attacking and fighting, such as antiaircraft fire, landform, technique and tactic performance of fighters etc., VC++.NET is used to conduct the algorithm simulation and the optimal airline is shown in MATLAB. The result suggests that the optimal route programmed by the modified PSO has a better performance of avoiding the threat, which satisfies the requirement of constrain technique and tactic performance and shorter voyage of fighters. And furthermore, the planning is better and higher in efficiency and precision.