基于滚动粒子群算法的空对地攻击轨迹控制决策

Air-to-Ground Attack Decision-Making of Controlling Trajectory Based on RHC-PSO

摘要:

针对空对地攻击的轨迹规划问题,建立战机的六自由度模型、全向RCS模型、以及各类威胁模型。选取推力系数、攻角以及横滚角为控制量,确立对地攻击航迹控制决策指标函数以及决策最优控制模型。采用滚动粒子群算法,通过粒子群算法获得控制量在每个决策时域内的最优值并结合滚动时域控制实现对航迹的在线规划。经过仿真分析表明该方法可以控制载机完成作战任务并能给出控制量的变化规律,为飞行员提供决策辅助信息。

Abstract:

Aiming at the controlling of trajectory during the air-to-ground attack, firstly, the 6 DOF model of combat aircraft, all-round RCS model and the model of the threats are established. Choosing the thrust coefficient、angle of attack、roll angle as the controlled quantity. Then established the indicator function and the optimum control modeling of the air-to-ground trajectory decision-making. Adopt the RHC-PSO algorithm, getting the controlled quantity’s optimum value in every decision-making time domain, combining the RHC to realize online controlling of the trajectory. Simulation shows that the algorithm can control the aircraft to perform the operational mission and show the change law of the controlled quantity, giving the information of aid decision making to pilot.