Assessing the Accuracy of the Angular Orientation of the Microsatellite by Kalman Under Uncertainty and Measurement Noise

Abstract

At present, not enough attention is paid to the impact of uncertainty Earth's magnetic field, taking into account the errors of the sensor of the sun, setting errors inertia tensor microsatellite (MS) and noise measurements.This paper considers the problem of evaluating the accuracy of the angular orientation of the MS Kalman filter (FK) under uncertainty and measurement noise. Included instrumental errors and inaccurate meters mathematical model of MS.To solve this problem based simulation model of MS, where the mathematical tools used quaternion algebra. As of position sensors used magnetometer and sun sensor.The research of precision angular orientation of MS using positional sensors and FC in the presence of instrumental errors and uncertainties meters mathematical model of MS. A study evaluating the accuracy of the sensor orientation at the hit of the Sun in Earth's shadow.This study showed a significant effect of instrumental errors and uncertainties meters mathematical model of MS on the error estimation of the angular orientation of the metabolic syndrome, in particular, a significant impact inaccurate model of the geomagnetic field. FC is particularly sensitive to the absence of information from the sensor due to the sun getting MS in Earth's shadow.