Collision avoidance as a robust reachability problem under model uncertainty

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Abstract

The paper presents an approach to the design of an optimal collision avoidance maneuver under model uncertainty. The dynamical model is assumed to be only partially known and the missing components are modeled with a polynomial expansion whose coefficients are recovered from sparse observations. The resulting optimal control problem is then translated into a robust reachability problem in which a controlled object has to avoid the region of possible collisions, in a given time, with a given target.
The paper will present a solution for a circular orbit in the case in which the reachable set is given by the level set of an artificial potential function.
Original languageEnglish
Title of host publicationSpaceflight Mechanics 2016
EditorsRenato Zanetti, Ryan P. Russell, Martin T. Ozimek, Angela L. Bowes
Pages4049-4064
Number of pages16
Volume158
Publication statusPublished - 14 Feb 2016
Event26th AAS/AIAA Space Flight Mechanics Meeting, 2016 - Napa, United States
Duration: 14 Feb 201618 Feb 2016

Conference

Conference26th AAS/AIAA Space Flight Mechanics Meeting, 2016
CountryUnited States
CityNapa
Period14/02/1618/02/16

Keywords

  • collision avoidance
  • circular orbit
  • near earth object

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  • Cite this

    Vasile, M., Tardioli, C., Riccardi, A., & Yamakawa, H. (2016). Collision avoidance as a robust reachability problem under model uncertainty. In R. Zanetti, R. P. Russell, M. T. Ozimek, & A. L. Bowes (Eds.), Spaceflight Mechanics 2016 (Vol. 158, pp. 4049-4064). [AAS 16-365]