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A Geofence Algorithm for Autonomous Flight Unmanned Aircraft System

机译:自主飞行无人机系统的地理良好算法

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In order to improve the safety of UAS flight, an autonomous flight UAS geofence algorithm is proposed. Firstly, by scaling the original geofence, a geofence pre-control-layer generation algorithm is proposed. Then, the buffer is added on the basis of traditional ray method to solve the problem of misjudgement of intersection points. The improved ray casting algorithm is used to detect the violation of geofence, and a re-planning method of the violating waypoints is proposed for the UAS with violating danger. The corresponding control law of boundary maintaining autonomous controls is designed. Simulation results both show that the UAS can modify the original flight path as little as possible on the basis of avoiding the violation of the geofence, and the proposed geofence algorithm is effective and can ensure the flight safety of autonomous UAS in geo-fence.
机译:为了提高UAS飞行的安全性,提出了一种自主飞行UAS Geofence算法。首先,通过缩放原始地理率,提出了一种地理位置预控制层生成算法。然后,基于传统的光线方法添加缓冲器以解决交叉点的误判问题。改进的射线铸造算法用于检测违反地理围的行为,并为违反危险的UA提出了违规航点的重新计划方法。设计了边界维护自主控制的相应控制定律。仿真结果既表明,在避免违反地理围栏的基础上,uas可以尽可能地修改原始飞行路径,并且所提出的地理良好算法是有效的,可以确保自主UA在地理围栏中的飞行安全。

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