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Terrestrial Testing of Multi-Agent, Relative Guidance, Navigation, and Control Algorithms

Authors :
Wenjie Dong
Mark Mercier
Matt Shubert
Sean Phillips
Source :
PLANS
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

The rise in small, distributed satellite applications has led to an increased interest in multi-agent, cooperative guidance, navigation, and control (GNC) strategies. In order to integrate and test algorithms associated with a multi-agent cooperative environment, the Cooperative Autonomous Networked Systems (CANS) Lab was developed. Multiple three-wheeled, omni-directional ground robots with on-board sensor suites enable hardware-in-the-loop testing while adhering to planar relative dynamics. A software framework has been established to enable accurate dynamics simulation using Clohessy-Wiltshire-Hill (CWH) dynamics. In this paper, the CANS lab is demonstrated through the use of an example formation flying application which incorporates uncertain scenario parameters.

Details

Database :
OpenAIRE
Journal :
2020 IEEE/ION Position, Location and Navigation Symposium (PLANS)
Accession number :
edsair.doi...........cf5048aa51c9728c672ce8156b291dbe
Full Text :
https://doi.org/10.1109/plans46316.2020.9109954