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Image-based visual servoing for the super-orbital re-entry of Hayabusa spacecraft

Khan, Razmi, Eichmann, Troy, Buttsworth, David, & Upcroft, Ben (2011) Image-based visual servoing for the super-orbital re-entry of Hayabusa spacecraft. In Proceedings of 2011 Australasian Conference on Robotics and Automation, Australian Robotics and Automation Association Inc., Monash University, Melbourne.

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      Abstract

      This paper presents an image-based visual servoing system that was used to track the atmospheric Earth re-entry of Hayabusa. The primary aim of this ground based tracking platform was to record the emission spectrum radiating from the superheated gas of the shock layer and the surface of the heat shield during re-entry.

      To the author's knowledge, this is the first time that a visual servoing system has successfully tracked a super-orbital re-entry of a spacecraft and recorded its pectral signature. Furthermore, we improved the system by including a simplified dynamic model for feed-forward control and demonstrate improved tracking performance on the International Space Station (ISS).

      We present comparisons between simulation and experimental results on different target trajectories including tracking results from Hayabusa and ISS. The required performance for tracking both spacecraft is demanding when combined with a narrow field of view (FOV). We also briefly discuss the preliminary results obtained from the spectroscopy of the Hayabusa's heat shield during re-entry.

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      ID Code: 51016
      Item Type: Conference Paper
      Keywords: Emission spectrums, Field of views, Ground-based tracking, Heat shields, Image-based, International Space stations, Shock layer, Spectral signature, Superheated gas, Target trajectory, Tracking performance
      ISSN: 9780980740424
      Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100) > Hypersonic Propulsion and Hypersonic Aerodynamics (090107)
      Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Control Systems Robotics and Automation (090602)
      Divisions: Current > Schools > School of Electrical Engineering & Computer Science
      Current > QUT Faculties and Divisions > Science & Engineering Faculty
      Deposited On: 22 Jun 2012 08:44
      Last Modified: 21 Aug 2012 10:00

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