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Application of an Active Joystick in a Rotorcraft UAV Ground Control Station

机译:在旋翼飞机UAV地面控制站中的应用活动操纵杆

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This paper presents the results of a joint research activity between DLR (Germany) and the University of Bologna (Italy) as an outcome of the CAPECON program. CAPECON is a European Union funded, civil UAV research program. The advent of active sidestick controllers in the manned rotorcraft industry has led to the question of how commercially available active joysticks could best be utilized in an UAV ground control station. A current major deficiency of UAV ground control stations is situational awareness. This paper documents the results of tests to improve situational awareness while performing a useful task. The task was defined as a search/identification task deemed typical for a low cost, rotorcraft UAV. The task required the pilot to locate a ground object, accelerate towards the object in minimum time and go into hover hold mode while keeping the object in camera view at all times for identification. Three pilots performed this task with and without the joystick active features and filled out Cooper-Harper rating questionnaires. The main results were 1) although the forces generated by the joystick are small (+5 [N]), they were sufficient to backdrive the joystick enabling beneficial applications 2) the ground control station developed at the University of Bologna offered a simulation environment realistic enough to test the active features of the joystick and 3) handling qualities ratings of the search/identification task showed a clear improvement (Level 1 over Level 2) using the joystick active features which resulted in decreased workload, increased performance and situational awareness.
机译:本文介绍了DLR(德国)与博洛尼亚大学(意大利)之间的联合研究活动作为Capecon计划的结果。 Capecon是一个欧洲联盟资助的民间无人机研究计划。载人旋翼机行业的活跃缺席控制器的出现导致了如何在无人机地面控制站中使用商业上可用的主动操纵杆的问题。目前无人机地面控制站的主要缺点是态势意识。本文记录了测试结果,以提高态势意识,同时执行有用的任务。任务被定义为搜索/识别任务,视为低成本,旋翼机UAV。任务需要导频来定位一个地对象,以最小时间加速到对象,并进入悬停保持模式,同时始终在相机视图中保持对象以进行识别。三个飞行员在没有操纵杆活动功能和填写库珀·哈珀评级问卷的情况下进行了这项任务。主要结果是1)虽然由操纵杆产生的力量很小(+5 [n]),但它们足以在博洛尼亚大学开发的地面控制站提供了一个仿真环境的地面控制站足以测试操纵杆的主动特征和3)使用操纵杆活动功能,搜索/识别任务的处理质量评级显示出明细的改进(1级),导致工作量增加,性能提高和情况提高。

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