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Survey of Advances In Guidance, Navigation, and Control of Unmanned Rotorcraft Systems

机译:无人机旋翼飞机系统制导,导航和控制方面的进展调查

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Recently, there has been growing interest in developing unmanned aircraft systems (UAS) with advanced onboard autonomous capabilities. This paper describes the current state of the art in autonomous rotorcraft UAS (RUAS) and provides a detailed literature review of the last two decades of active research on RUAS. Three functional technology areas are identified as the core components of an autonomous RUAS. Guidance, navigation, and control (GNC) have received much attention from the research community, and have dominated the UAS literature from the nineties until now. This paper first presents the main research groups involved in the development of GNC systems for RUAS. Then it describes the development of a framework that provides standard definitions and metrics characterizing and measuring the autonomy level of a RUAS using GNC aspects. This framework is intended to facilitate the understanding and the organization of this survey paper, but it can also serve as a common reference for the UAS community. The main objective of this paper is to present a comprehensive survey of RUAS research that captures all seminal works and milestones in each GNC area, with a particular focus on practical methods and technologies that have been demonstrated in flight tests. These algorithms and systems have been classified into different categories and classes based on the autonomy level they provide and the algorithmic approach used. Finally, the paper discusses the RUAS literature in general and highlights challenges that need to be addressed in developing autonomous systems for unmanned rotorcraft.
机译:最近,人们对开发具有先进机载自主功能的无人机系统(UAS)的兴趣日益浓厚。本文介绍了自主旋翼飞机UAS(RUAS)的最新技术,并提供了有关最近二十年来对RUAS进行积极研究的详细文献综述。三个功能技术领域被确定为自治RUAS的核心组件。制导,导航和控制(GNC)受到研究界的广泛关注,从90年代到现在一直主导着UAS文献。本文首先介绍了用于RUAS的GNC系统开发的主要研究小组。然后,它描述了框架的开发,该框架提供了使用GNC方面描述和测量RUAS自治级别的标准定义和度量。该框架旨在促进对本调查文件的理解和组织,但也可以作为UAS社区的通用参考。本文的主要目的是对RUAS研究进行全面的综述,以涵盖GNC各个领域的所有开创性工作和里程碑,并特别关注在飞行测试中已经证明的实用方法和技术。根据这些算法和系统提供的自治级别以及所使用的算法方法,它们已分为不同的类别和类别。最后,本文讨论了RUAS的一般文献,并重点介绍了开发无人旋翼飞机自主系统时需要解决的挑战。

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  • 来源
    《Journal of Field Robotics》 |2012年第2期|p.315-378|共64页
  • 作者

    Farid Kendoul;

  • 作者单位

    Australian Research Centre for Aerospace Automation (ARCAA), 22-24 Boronia Road, Eagle Farm, 4009, Queensland, Australia and CSIROICT Centre, PO Box 883, Kenmore, Queensland, Australia;

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  • 正文语种 eng
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