Title :
Intelligent model-based hierarchical fault diagnosis for satellite formations
Author :
Barua, Amitabh ; Khorasani, Khashayar
Author_Institution :
Concordia Univ. Montreal, Montreal
Abstract :
Formation flying is an emerging area in the Earth and space science and technology domain that utilize multiple inexpensive spacecraft by distributing the functionalities of a single platform among the miniature inexpensive platforms. Traditional spacecraft fault diagnosis and health monitoring practices that involve around-the-clock monitoring, threshold checking, and trend analysis of a large amount of telemetry data by human experts do not scale up well for multiple space platforms. In this paper a hierarchical fault detection and isolation (FDI) framework for spacecraft formation is proposed. Furthermore, fuzzy reasoning-based fault diagnosis for formation-level fault isolation related to attitude control is investigated. The proposed method has potential for acting as a mission enhancer by automating the fault diagnosis process for satellite formation flying missions.
Keywords :
aerospace computing; artificial satellites; attitude control; fault diagnosis; fuzzy reasoning; attitude control; fuzzy reasoning-based fault diagnosis; health monitoring; hierarchical fault detection and isolation framework; intelligent model-based hierarchical fault diagnosis; multiple inexpensive spacecraft; satellite formation flying; Fault detection; Fault diagnosis; Fuzzy control; Geoscience; Humans; Monitoring; Satellites; Space technology; Space vehicles; Telemetry;
Conference_Titel :
Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
978-1-4244-0990-7
Electronic_ISBN :
978-1-4244-0991-4
DOI :
10.1109/ICSMC.2007.4413703