Dynamic visual servoing of a rotary-wing unmanned aerial vehicle without velocity measurement

Hui Xie, K. H. Low

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

5 Citations (Scopus)

Abstract

![CDATA[This paper presents a dynamic image-based visual servoing (IBVS) law for the quadrotor unmanned aerial vehicle (UAV) equipped with a single downward facing camera. The objective of the IBVS controller is to regulate the relative position and yaw of the vehicle to a planar target consisting of multiple points. A set of image moment features defined in the image plane of a virtual camera with zero roll and pitch motion are used for visual servoing. An output feedback control law is developed to remove the requirement of translational velocity measurement. Various system uncertainties are considered and treated as unknown parameters. The IBVS law is also adaptive to those system parameters. The asymptotic stability of the error dynamics is proven and a numerical simulation is presented to demonstrate the controller’s performance.]]
Original languageEnglish
Title of host publicationAIAA Guidance, Navigation, and Control Conference 2017, AIAA SciTech Forum, 9-13 January 2017, Grapevine, Texas
PublisherAmerican Institute of Aeronautics and Astronautics
Pages2421-2431
Number of pages11
ISBN (Print)9781510843936
DOIs
Publication statusPublished - 2017
EventAIAA Guidance_Navigation_and Control Conference -
Duration: 9 Jan 2017 → …

Conference

ConferenceAIAA Guidance_Navigation_and Control Conference
Period9/01/17 → …

Keywords

  • cameras
  • drone aircraft
  • quodrotors
  • visual servoing

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