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Terrestrial Testing of Multi-Agent, Relative Guidance, Navigation, and Control Algorithms
- 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.
- Subjects :
- 020301 aerospace & aeronautics
0209 industrial biotechnology
Guidance, navigation and control
Computer science
Distributed computing
02 engineering and technology
computer.software_genre
Software framework
020901 industrial engineering & automation
0203 mechanical engineering
Test algorithm
Robot
Satellite
computer
Subjects
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