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: | Daramouskas, I. (Author), Kostopoulos, V. (Author), Lappas, V. (Author), Moulianitis, V.C (Author), Papakonstantinou, C. (Author) |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI
2022
|
Subjects: | |
Online Access: | View Fulltext in Publisher |
Similar Items
-
A Gimballed Control Moment Gyroscope Cluster Design for Spacecraft Attitude Control
by: Charalampos Papakonstantinou, et al.
Published: (2021-09-01) -
Design and Simulation of a MEMS Control Moment Gyroscope for the Sub-Kilogram Spacecraft
by: Weizheng Yuan, et al.
Published: (2010-04-01) -
Non-Symmetric Gyroscope Skewed Pyramids
by: Zachary Lewis, et al.
Published: (2019-09-01) -
Design and Structural Analysis of a Control Moment Gyroscope (CMG) Actuator for CubeSats
by: Alexis Gaude, et al.
Published: (2020-05-01) -
Satellite Attitude Control Using Control Moment Gyroscopes
by: Kenedy Matiasso Portella, et al.
Published: (2020-11-01)