A Machine Learning Approach for Global Steering Control Moment Gyroscope Clusters
This paper addresses the problem of singularity avoidance for a 4-Control Moment Gyroscope (CMG) pyramid cluster, as used for the attitude control of a satellite using machine learning (ML) techniques. A data-set, generated using a heuristic algorithm, relates the initial gimbal configuration and th...
Main Authors: | Charalampos Papakonstantinou, Ioannis Daramouskas, Vaios Lappas, Vassilis C. Moulianitis, Vassilis Kostopoulos |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-03-01
|
Series: | Aerospace |
Subjects: | |
Online Access: | https://www.mdpi.com/2226-4310/9/3/164 |
Similar Items
-
A Gimballed Control Moment Gyroscope Cluster Design for Spacecraft Attitude Control
by: Charalampos Papakonstantinou, et al.
Published: (2021-09-01) -
Design of a Low-Cost Air Bearing Testbed for Nano CMG Maneuvers
by: Charalampos Papakonstantinou, et al.
Published: (2022-02-01) -
Steering law considering biased loads for control moment gyroscopes
by: Yasuyuki NANAMORI, et al.
Published: (2015-08-01) -
Design and Structural Analysis of a Control Moment Gyroscope (CMG) Actuator for CubeSats
by: Alexis Gaude, et al.
Published: (2020-05-01) -
Design and Simulation of a MEMS Control Moment Gyroscope for the Sub-Kilogram Spacecraft
by: Weizheng Yuan, et al.
Published: (2010-04-01)