This paper studies the transfer path planning problem for safe transfer of an aircraft on the aircraft carrier flight deck under a poor visibility condition or at night. First, we analyze the transfer path planning problem for carrier-based aircraft on the flight deck, and define the objective to be optimized and the constraints to be met. Second, to solve this problem, the mathematical support models for the flight deck, carrier aircraft entity, entity extension, entity posture, entity conflict detection, and path smoothing are established, as they provide the necessary basis for transfer path planning of the aircraft on the aircraft carrier. Third, to enable automatic transfer path planning, we design a multi-habitat parallel chaos algorithm (called KCMPSO), and use it as the optimization method for transfer path planning. Finally, we take the Kuznetsov aircraft carrier as a verification example, and conduct simulations. The simulation results show that compared with particle swarm optimization, this method can solve the transfer path planning problem for an aircraft on the aircraft carrier flight deck better.

本文研究了飞机在能见度较差或夜间在航母飞行甲板上安全转移的转移路径规划问题。首先，我们分析了舰载机在飞行甲板上的转移路径规划问题，并定义了要优化的目标和要满足的约束条件。其次，为解决这一问题，建立了驾驶舱、舰载机实体、实体扩展、实体姿态、实体冲突检测、路径平滑等数学支撑模型，为飞机上的转移路径规划提供了必要的依据。航空母舰。第三，为了实现自动传输路径规划，我们设计了一种多栖息地并行混沌算法（称为 KCMPSO），并将其用作传输路径规划的优化方法。最后，我们以库兹涅佐夫号航母为例，进行仿真。仿真结果表明，与粒子群算法相比，该方法能更好地解决航母飞行甲板上某架飞机的转移路径规划问题。