DocumentCode :
577215
Title :
Design of a novel fault detection algorithm based on Euler angles for the attitude determination system of a 3-axis stabilized satellite
Author :
Bolandi, Hosein ; Abedi, Mostafa ; Nasrolahi, Seied Saeed
Author_Institution :
Iran Univ. of Sci. & Technol., Tehran, Iran
fYear :
2011
fDate :
27-29 Dec. 2011
Firstpage :
1181
Lastpage :
1186
Abstract :
This paper presents a new scheme for fault detection in satellite Attitude Determination (AD) sensors. The proposed method is based on derivation of all possible relations which result in Euler angles and comparison of these angles provided by them. Accordingly, significant changes in the distribution of Euler angles set, is used as a benchmark for fault detection. The features which have been achieved by this philosophy make it possible to provide an analytical approach for fault detection without imposing any additional sensors, mass, power consumption and costs. Also, the outlined method is a free-model based approach which allows combination of this algorithm with the model-based algorithms utilized in the attitude control subsystem. So it provides the detection of sensor faults independent of the actuators situations. The numerical simulations presented in this paper demonstrate the accuracy and robustness of the designed algorithms.
Keywords :
artificial satellites; attitude control; attitude measurement; fault diagnosis; sensors; stability; 3-axis stabilized satellite; Euler angle; actuator; attitude control subsystem; attitude determination system; fault detection algorithm; free-model based approach; numerical simulation; robustness; satellite attitude determination sensor; sensor fault detection; Algorithm design and analysis; Fault detection; Magnetic sensors; Satellites; Sun; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Instrumentation and Automation (ICCIA), 2011 2nd International Conference on
Conference_Location :
Shiraz
Print_ISBN :
978-1-4673-1689-7
Type :
conf
DOI :
10.1109/ICCIAutom.2011.6356829
Filename :
6356829
Link To Document :
بازگشت