TY - GEN
T1 - Reliable Kalman Filtering for Satellite Attitude Estimation under Gyroscope Partial Failure
AU - Adnane, Akram
AU - Jiang, Hong
AU - Mohammed, Mohammed Arezki Si
AU - Bellar, Abdellatif
AU - Foitih, Zoubir Ahmed
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/9/20
Y1 - 2018/9/20
N2 - A147 estimation is one of the important aspects in Attitude Determination and Control System (ADCS) of a satellite. Under normal working conditions, it is possible to achieve sufficiently a good attitude estimation using regular Kalman filtering. However, in the presence of sensor faults, the filter fails to provide the desired accuracy and may deteriorate the attitude estimation. To overcome this imperfection, a Fault Tolerant Extended Kalman Filter (FTEKF) is presented in this paper to improve the state estimation reliability even in the sensor fault situation. In accordance, a model of sensitivity factor is applied in the fault detection design of the filter to detect gyroscope sensor faults. Numerical comparison with Robust Extended Kalman Filter (REKF) is carried out for performance assessment. The proposed filter is approved to be robust against gyroscope faults with better filtering performance.
AB - A147 estimation is one of the important aspects in Attitude Determination and Control System (ADCS) of a satellite. Under normal working conditions, it is possible to achieve sufficiently a good attitude estimation using regular Kalman filtering. However, in the presence of sensor faults, the filter fails to provide the desired accuracy and may deteriorate the attitude estimation. To overcome this imperfection, a Fault Tolerant Extended Kalman Filter (FTEKF) is presented in this paper to improve the state estimation reliability even in the sensor fault situation. In accordance, a model of sensitivity factor is applied in the fault detection design of the filter to detect gyroscope sensor faults. Numerical comparison with Robust Extended Kalman Filter (REKF) is carried out for performance assessment. The proposed filter is approved to be robust against gyroscope faults with better filtering performance.
KW - attitude estimation
KW - extended Kalman filter
KW - fault detection
KW - fault estimation
KW - satellite
KW - sensitivity factor
UR - https://www.scopus.com/pages/publications/85055678988
U2 - 10.1109/IMCEC.2018.8469422
DO - 10.1109/IMCEC.2018.8469422
M3 - 会议稿件
AN - SCOPUS:85055678988
T3 - Proceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018
SP - 449
EP - 454
BT - Proceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018
A2 - Xu, Bing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018
Y2 - 25 May 2018 through 27 May 2018
ER -