Enhanced Fault Detection in Satellite Attitude Control Systems Using LSTM-Based Deep Learning and Redundant Reaction Wheels

Enhanced Fault Detection in Satellite Attitude Control Systems Using LSTM-Based Deep Learning and Redundant Reaction Wheels

Reliable fault detection in satellite attitude control systems stands as a critical aspect of ensuring the safety and success of space missions. Central to these systems, reaction wheels (RWs), despite being the most frequently used actuators, present a vulnerability given their susceptibility to fa...

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Bibliographic Details
Main Author: Sajad Saraygord Afshari
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Machines
Subjects:
satellites
attitude control systems
reaction wheels
fault detection
deep learning
Long Short-Term Memory (LSTM)
Online Access:https://www.mdpi.com/2075-1702/12/12/856
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