基于分布式滚动时域的飞行器集群打击任务轨迹优化OA

To enhance the real-time trajectory planning capability of aircraft swarms in dynamic and antagonistic envi-ronments for cooperative saturation attacks,a decision-making approach integrating a multiphase pseudospectral method with receding horizon optimization is proposed.Firstly,a multi-objective optimization problem for cooperative strike mis-sions of aircraft swarms is formulated based on the aircraft dynamics model,where the constraints such as performance limits,inter-swarm distance,and obstacle avoidance are considered,and the terms of target-approach,attack angle deviation minimization,and time synchronization are incorporated.Thereby a model of swarm trajectory optimization problem is established.Secondly,nonlinear constraints are systematically augmented into the objective function through exact penal-ty functions to further accelerate the solution process of the optimization problem.Finally,the multiphase pseudospectral method is employed in a receding horizon framework to iteratively solve the aforementioned swarm trajectory optimization problem.To validate the effectiveness of the proposed method,a scenario of aircraft swarm cooperatively striking dynamic targets is simulated.Numerical simulation results show that the aircraft swarm successfully avoids threat zones and achieves saturation strikes on dynamic targets.The proposed method features rapid computation speed(with an average optimization time of less than 0.5 s),demonstrating its capability for online trajectory optimization.