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Multiple-Scenario Unmanned Aerial System Control: A Systems Engineering Approach and Review of Existing Control Methods

机译:多场景无人机系统控制:一种系统工程方法及现有控制方法的回顾

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The use of unmanned aerial systems (UASs) in both the public and military environments is predicted to grow significantly. As the demand for UASs grows, the availability of more robust and capable vehicles that can perform multiple mission types will be needed. In the public sector, the demand will grow for UASs to be used for agriculture, forestry, and search and rescue missions. Militaries continue to demand more UAS capabilities for diverse operations around the world. Significant research has been performed and continues to progress in the areas of autonomous UAS control. A majority of the work focuses on subsets of UAS control: path planning, autonomy, small UAS controls, and sensors. Minimal work exists on a system-level problem of multiple-scenario UAS control for integrated systems. This paper provides a high-level modular system architecture definition that is modifiable across platform types and mission requirements. A review of the current research and employment of UAS capabilities is provided to evaluate the state of the capabilities required to enable the proposed architecture.
机译:预计在公共和军事环境中无人驾驶航空系统(UAS)的使用将大大增加。随着对UAS的需求的增长,将需要能够执行多种任务类型的更强大,功能更强的车辆。在公共部门,对用于农业,林业以及搜索和救援任务的UAS的需求将不断增长。军方继续要求更多的UAS功能用于世界各地的各种行动。在自主UAS控制领域,已经进行了重要的研究并且正在继续发展。大部分工作都集中在UAS控制的子集上:路径规划,自治,小型UAS控制和传感器。对于集成系统的多场景UAS控制,在系统级问题上进行的工作很少。本文提供了一个可在平台类型和任务要求之间进行修改的高级模块化系统体系结构定义。提供了对UAS功能的当前研究和使用的回顾,以评估实现所提议的体系结构所需的功能的状态。

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