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An unmanned aircraft system for maritime operations: The sense and avoid subsystem with software-in-the-loop evaluation

机译:海上作战无人飞机系统:带有软件在环评估的感知和避免子系统

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Unmanned air systems are becoming ever more important in modern societies but raise a number of unresolved problems. There are legal issues with the operation of these vehicles in nonsegregated airspace, and a pressing requirement to solve these issues is the development and testing of reliable and safe mechanisms to avoid collision in flight. In this article, we describe a sense and avoid subsystem developed for a maritime patrol unmanned air system. The article starts with a description of the unmanned air system, that was developed specifically for maritime patrol operations, and proceeds with a discussion of possible ways to guarantee that the unmanned air system does not collide with other flying objects. In the system developed, the position of the unmanned air system is obtained by the global positioning system and that of other flying objects is reported via a data link with a ground control station. This assumes that the detection of those flying objects is done by a radar in the ground or by self-reporting via a traffic monitoring system (such as automatic identification system). The algorithm developed is based on game theory. The approach is to handle both the procedures, threat detection phase and collision avoidance maneuver, in a unified fashion, where the optimal command for each possible relative attitude of the obstacle is computed off-line, therefore requiring low processing power for real-time operation. This work was done under the research project named SEAGULL that aims to improve maritime situational awareness using fleets of unmanned air system, where collision avoidance becomes a major concern.
机译:在现代社会中,无人驾驶航空系统变得越来越重要,但是却带来了许多未解决的问题。这些飞行器在非隔离空域中的运行存在法律问题,解决这些问题的迫切要求是开发和测试可靠,安全的机制,以避免在飞行中发生碰撞。在本文中,我们描述了为海上巡逻无人机系统开发的一种避免使用子系统。本文首先介绍了专门为海上巡逻操作开发的无人机系统,然后讨论了确保无人机系统不会与其他飞行物体发生碰撞的可能方法。在开发的系统中,无人空中系统的位置由全球定位系统获得,其他飞行物体的位置则通过与地面控制站的数据链路报告。假定通过地面雷达或通过交通监控系统(例如自动识别系统)进行自我报告来检测那些飞行物体。开发的算法基于博弈论。该方法是以统一的方式处理威胁检测阶段和避免碰撞演习这两个程序,其中离线计算障碍物每个可能相对姿态的最佳命令,因此对实时操作的处理能力较低。这项工作是在名为SEAGULL的研究项目下完成的,该项目旨在使用无人驾驶飞机机群来提高海上态势感知能力,在这种情况下,避免碰撞成为一个主要问题。

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