空战机动飞行轨迹生成与控制

针对依赖于标准机动动作库或者驾驶员经验的机动控制问题，提出一种基于蒙特卡罗树搜索算法生成机 动轨迹的方法，只需给定目标机动动作的初始和终止状态，通过反复搜索即可得到达成机动目标的操作序列；并设 计前馈加反馈的复合控制器来提高轨迹跟踪的效果。实验以筋斗机动为例进行验证，仿真结果表明：得到的筋斗参 考轨迹各项指标均接近职业战斗机飞行员的最佳表现；同时与传统的PID 控制器进行对比，证明了复合控制器能显 著提高筋斗轨迹的跟踪效果，为解决机动控制问题提出了一种有效的解决方案。

Air Combat Maneuvering Flight Trajectory Generation and Control

Aiming at the problem of maneuver control depending on the standard maneuver library or driver experience, a method based on Monte-Carlo tree search algorithm to generate maneuvering trajectory is proposed. It only needs to give the initial and final state of the target maneuver, and can search through repeated searches. The sequence of operations to achieve the maneuvering target is obtained; and a composite controller with feedforward and feedback is designed to improve the effect of trajectory tracking. The experiment is carried out with the example of the somersault maneuver. The simulation results show that the obtained index of the tendon reference trajectory is close to the best performance of the professional fighter pilot. At the same time, compared with the traditional PID controller, the composite controller can significantly improve the tendon trajectory. The tracking effect provides an effective method to the problem of maneuvering flight control