 |
Attitude estimation is considered a crucial technology in space research, as it is used to convert sensor measurements into estimated attitude using various methods. However, due to the computational constraints and complexity of space missions, most estimators tend to be computationally expensive and unsuitable for practical applications. This paper addresses this problem by proposing a new configuration for an on-board Attitude Determination and Control System (ADCS) based on in-orbit flight data, which combines the αβ filter and TRIAD algorithm. The primary objective of this configuration is to achieve both low computational cost and high accuracy simultaneously. To evaluate the performance of the proposed configuration, simulations were conducted and compared to the in-orbit attitude of Alsat-1, which was estimated using small Euler angles and the Extended Kalman Filter (EKF) implemented on-board. The results showed that the proposed configuration provides acceptable performance while reducing computational costs
