Robotic Test Bench for CubeSat Ground Testing: Concept and Satellite Dynamic Parameter Identification - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Conference Papers Year : 2015

Robotic Test Bench for CubeSat Ground Testing: Concept and Satellite Dynamic Parameter Identification

Abstract

This paper introduces a novel concept of an air bearing test bench for CubeSat ground testing together with the corresponding dynamic parameter identification method. Contrary to existing air bearing test benches, the proposed concept allows three degree-of-freedom unlimited rotations and minimizes the influence of the test bench on the tested CubeSat. These advantages are made possible by the use of a robotic wrist which rotates air bearings in order to make them follow the CubeSat motion. Another keystone of the test bench is an accurate balancing of the tested CubeSat. Indeed, disturbing factors acting on the satellite shall be minimized, the most significant one being the gravity torque. An efficient balancing requires the CubeSat center of mass position to be accurately known. Usual techniques of dynamic parameter identification cannot be directly applied because of the frictionless suspension of the CubeSat in the test bench and, accordingly, due to the lack of external actuation. In this paper, a new identification method is proposed. This method does not require any external actuation and is based on the sampling of free oscillating motions of the CubeSat mounted on the test bench.

Domains

Automatic
Fichier principal
Vignette du fichier
07354148.pdf (1.08 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

lirmm-01310817 , version 1 (03-05-2016)

Identifiers

Cite

Irina Gavrilovich, Sébastien Krut, Marc Gouttefarde, François Pierrot, Laurent Dusseau. Robotic Test Bench for CubeSat Ground Testing: Concept and Satellite Dynamic Parameter Identification. IROS: Intelligent RObots and Systems, Sep 2015, Hamburg, Germany. pp.5447-5453, ⟨10.1109/IROS.2015.7354148⟩. ⟨lirmm-01310817⟩
309 View
583 Download

Altmetric

Share

Gmail Facebook X LinkedIn More