TY - JOUR
T1 - A scheme of satellite multi-sensor fault-tolerant attitude estimation
AU - Zhou, Jun
AU - Li, Xin
AU - Liu, Rui
AU - Liu, Yingying
N1 - Publisher Copyright:
© 2016 SAGE Publications.
PY - 2016/9/1
Y1 - 2016/9/1
N2 - This paper presents a scheme for satellite multi-sensor fault-tolerant attitude estimation. It can both detect a faulty sensor online and conduct fault tolerance in time. First, a satellite attitude estimator based on error states is presented as the unified filter algorithm, in which the filter state equation is built with the gyro model and satellite kinematics, and the measurement equations are built with angle sensors. Meanwhile, typical fault models of the angle sensors are given. Then, a fault-tolerant federated Kalman filter (FTFKF) scheme is designed. Its three sub-filters include the respective angle sensors and share the public gyro measurement. Under the sensor fault condition, a FTFKF can detect the faulty sensor by contrasting and analysing the dimensionless fault detection factors and then selectively fusing the sub-filters' outputs to enable the satellite attitude determination accuracy to approach normal. The comparative analysis of simulation results in typical fault cases shows that the proposed satellite multi-sensor fault-tolerant attitude estimation scheme may achieve the expected fault-tolerant performance. It is promising for enhancing the reliability of satellite attitude determination and control systems.
AB - This paper presents a scheme for satellite multi-sensor fault-tolerant attitude estimation. It can both detect a faulty sensor online and conduct fault tolerance in time. First, a satellite attitude estimator based on error states is presented as the unified filter algorithm, in which the filter state equation is built with the gyro model and satellite kinematics, and the measurement equations are built with angle sensors. Meanwhile, typical fault models of the angle sensors are given. Then, a fault-tolerant federated Kalman filter (FTFKF) scheme is designed. Its three sub-filters include the respective angle sensors and share the public gyro measurement. Under the sensor fault condition, a FTFKF can detect the faulty sensor by contrasting and analysing the dimensionless fault detection factors and then selectively fusing the sub-filters' outputs to enable the satellite attitude determination accuracy to approach normal. The comparative analysis of simulation results in typical fault cases shows that the proposed satellite multi-sensor fault-tolerant attitude estimation scheme may achieve the expected fault-tolerant performance. It is promising for enhancing the reliability of satellite attitude determination and control systems.
KW - Fault-tolerant estimator
KW - federated Kalman filter
KW - multi-sensor system
KW - satellite attitude determination
KW - sensor fault
UR - http://www.scopus.com/inward/record.url?scp=84984908040&partnerID=8YFLogxK
U2 - 10.1177/0142331216642838
DO - 10.1177/0142331216642838
M3 - 文章
AN - SCOPUS:84984908040
SN - 0142-3312
VL - 38
SP - 1053
EP - 1063
JO - Transactions of the Institute of Measurement and Control
JF - Transactions of the Institute of Measurement and Control
IS - 9
ER -