Automated Proximity Operations Using Image Based Relative Navigation

Author(s)
Walker, Luke
Advisor(s)
Editor(s)
Associated Organization(s)
Organizational Unit
Daniel Guggenheim School of Aerospace Engineering
The Daniel Guggenheim School of Aeronautics was established in 1931, with a name change in 1962 to the School of Aerospace Engineering
Supplementary to:
Abstract
This paper will describe a system for relative navigation and automated proximity operations for a small spacecraft about another spacecraft using continuous thrust propulsion and low cost imagers. Novel image processing algorithms provide range estimates in addition to traditional spherical angle estimates using knowledge of the target spacecraft’s geometry. A differential correction batch filter is used to provide relative navigation and state estimation. These state estimates are used to provide input for the automated control of the chaser spacecraft via a Linear Quadratic Regulator. Propulsive maneuvers are accomplished using several low-thrust, non-throttleable thrusters using pulse-width modulation and thrust vectoring. A waypoint logic controller is used to define intermediate goals to reach the final goal in order to limit operational risk from an error in estimation of the spacecraft’s relative state. The system is described and then initial simulation test results are shown.
Sponsor
Date
2012-05-01
Extent
Resource Type
Text
Resource Subtype
Masters Project
Rights Statement
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