TY  - JOUR
TI  - Fault Tolerant Attitude Estimation for a Nanosatellite Using Adaptive Kalman Filter with Single Scaling Factor
AB  - In this study, an integrated adaptive TRIAD/Extended Kalman Filter (EKF) attitude estimation system is presented, in which the TRIAD and an adaptive EKF are combined to estimate the attitude of a nanosatellite.  As the first step of the system, the TRIAD algorithm produces an initial coarse quaternion estimation by using magnetometer and sun sensor measurements, and then, this coarse estimation is directly fed to the adaptive EKF. This direct input of the attitude information to the filter relatively reduces the computational burden that an EKF brings. As the second step of the system, adaptive EKF filters the TRIAD solution and gives the final quaternion estimation. At the same time, the adaptive EKF readjusts the measurement noise covariance matrix by using a single scaling factor (SSF) in case of a sensor fault and makes the overall system more robust against the sensor malfunctions. Several simulations are performed, and the performance of the presented system is tested against two different fault types as noise increment and continuous bias in attitude sensors.
AU  - Kinatas, Hasan
AU  - Hajiyev, Chingiz
PY  - 2022
JO  - Havacılık ve Uzay Teknolojileri Dergisi
VL  - 15
IS  - 2
SN  - 1304-0448
SP  - 74
EP  - 93
DB  - TRDizin
UR  - http://search/yayin/detay/1119583
ER  -