Abstract
We will design an extended interacting multiple models adaptive estimator (EIMMAE) for attitude determination of a stereoimagery satellite. This algorithm is based on interacting multiple models (IMM) extended kalman filters (EKF) using star sensor and gyroscope data. In this method, the motion of satellite during stereoimaging manoeuvres is partitioned into two different modes: “manoeuvring motion” mode and “uniform motion” mode. The proposed algorithm will select the suitable Kalman filter structure to estimate gyro errors accurately in order to maintain the peak attitude estimation error less enough at the beginning of manoeuvres while the satellite is in “manoeuvring motion” mode and then will select the suitable star sensor measurement noise level at the end of manoeuvres while the satellite is in “uniform motion” mode to reduce attitude estimation errors. It will be shown that using the proposed algorithm, the attitude estimation accuracy of stereoimagery satellite will be increased considerably. The effectiveness of the proposed algorithm will be examined and compared with the previous proposed methods through numerical simulations.
Highlights
Data collection in stereo mode is the simplest and most convenient way for 3D topographic data acquisition to produce new and revision of old inaccurate databases and maps which has been matured over the 100 years [1,2,3,4]
The “interacting multiple models (IMM) L” estimator will be designed based on 6-state extended kalman filters (EKF) structure in order to identify the suitable star sensor measurement noise level
A plot of the number of identified stars and star sensor measurements noise with a value of 0.005 deg for 3σs and associated 3σ boundaries over the 540 sec during the stereoimaging maneuvers are shown in Figure 9 [20]
Summary
Data collection in stereo mode is the simplest and most convenient way for 3D topographic data acquisition to produce new and revision of old inaccurate databases and maps which has been matured over the 100 years [1,2,3,4] This methodology involves identifying and measuring targets on images of an object which have been taken from disparate viewpoints. In [5], it has been suggested an effective stereoimaging scenario to obtain the advantages of previous proposed methods In this scenario, state-of-the-art solution is to control pitch and roll axes of satellite simultaneously in such a way that short “revisit period” and “repeat cycle” can be obtainable according to Figure 1. The effectiveness of the proposed algorithm method will be examined and compared with previous proposed methods through numerical simulations
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