ROMar 18, 2019

A Nonlinear Observer for Free-Floating Target Motion using only Pose Measurements

arXiv:1903.07230v116 citations
Originality Incremental advance
AI Analysis

This addresses the challenge of orbital robotic capture for non-cooperative satellites, where direct velocity measurements are unavailable, though it appears incremental as it builds on existing model-based observer techniques.

The paper tackles the problem of estimating the inertial pose and velocity of a free-floating non-cooperative satellite using only noisy, slow-sampled relative pose measurements, by developing a nonlinear observer on the SE(3) Lie group that acts as a predictor during measurement gaps, with validation through Monte-Carlo simulations and robotic experiments.

In this paper, we design a nonlinear observer to estimate the inertial pose and the velocity of a free-floating non-cooperative satellite (Target) using only relative pose measurements. In the context of control design for orbital robotic capture of such a non-cooperative Target, due to lack of navigational aids, only a relative pose estimate may be obtained from slow-sampled and noisy exteroceptive sensors. The velocity, however, cannot be measured directly. To address this problem, we develop a model-based observer which acts as an internal model for Target kinematics/dynamics and therefore, may act as a predictor during periods of no measurement. To this end, firstly, we formalize the estimation problem on the SE(3) Lie group with different state and measurement spaces. Secondly, we develop the kinematics and dynamics observer such that the overall observer error dynamics possesses a stability property. Finally, the proposed observer is validated through robust Monte-Carlo simulations and experiments on a robotic facility.

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