Testing satellite control systems with drones

2022 ◽  
Vol 41 (1) ◽  
pp. 6-13
Author(s):  
Ali Barari ◽  
Ryan Dion ◽  
Ian Jeffrey ◽  
Philip Ferguson
Keyword(s):  
Control Systems ◽  
Satellite Control

A New Approach to Fault Diagnosis for Satellite Control Systems Based on Machine Learning

2012 ◽  
Vol 457-458 ◽  
pp. 1070-1076 ◽  
Author(s):  
Fei Yan ◽  
Ming Jian Li
Keyword(s):  
Machine Learning ◽  
Control System ◽  
Fault Diagnosis ◽  
Control Systems ◽  
Attitude Control ◽  
Support Vector ◽  
Learning Technology ◽  
Attitude Control System ◽  
Satellite Control ◽  
Intelligent Approach

Based on the traditional method of analytical redundancy fault diagnosis, the advanced machine learning technology is combined with the model-based fault diagnosis so as to form a new intelligent approach to the fault diagnosis for satellite control systems. The support vector regression technique in statistical learning theory is employed to model the control system with a little sampling data firstly. Then the feasibility of detecting and identifying faults for the satellite attitude control system with the Mahalanobis distance is analyzed in detail. Finally a set of fault-detection observers are designed and implemented based on the residual evaluation. The simulation result indicates that the diagnosing method proposed in this paper is characterized with light computation burden and good real-time performance.

A reference architecture for satellite control systems

2019 ◽  
Vol 15 (2) ◽  
pp. 139-153
Author(s):  
Adair José Rohling ◽  
Valdemar Vicente Graciano Neto ◽  
Mauricio Gonçalves Vieira Ferreira ◽  
Walter Abrahão Dos Santos ◽  
Elisa Yumi Nakagawa
Keyword(s):  
Control Systems ◽  
Reference Architecture ◽  
Satellite Control
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