空战机动飞行轨迹生成与控制  

Air Combat Maneuvering Flight Trajectory Generation and Control

作　　者：刘佩 王维嘉 陈向[1] 朱雪耀[1] Liu Pei;Wang Weijia;Chen Xiang;Zhu Xueyao(Xi＇an Flight Automatic Control Research Institute,Aviation Industry Corporation of China,Xi＇an 710065,China)

机构地区：[1]中国航空工业集团公司西安飞行自动控制研究所,西安710065

出　　处：《兵工自动化》2018年第11期76-80,96,共6页Ordnance Industry Automation

摘　　要：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。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

关 键 词：机动飞行控制 强化学习 蒙特卡罗树搜索 复合控制 

分 类 号：TJ85[兵器科学与技术—武器系统与运用工程]