Magnetometer-Only Kalman Filter Based Algorithms for High Accuracy Spacecraft Attitude Estimation (A Comparative Analysis)
نویسندگان
چکیده
Kalman Filter (KF) based algorithms are the most frequently employed attitude estimation algorithms. Typically, a fully observable system necessitates use of two distinct sensor types. Therefore, relying on single sensor, such as magnetometer, for spacecraft is deemed to be challenge. The present investigation centers utilizing magnetometers exclusive sensor. Several KF have been designed and evaluated give designer Attitude Orbit Control System (AOCS) choice suitable algorithm his mission quantitative measures. These capable effectively addressing nonlinearity in both process measurement models. under examination encompass Extended (EKF), Sequential (SEKF), Pseudo Linear (PSELIKA), Unscented (USKF), Derivative Free (DFEKF). comparison hinges key performance metrics, error each axis, computation time, convergence rate. resulting provide numerous benefits, diverse levels high accuracy (with errors ranging from 0.014o 0.14o), varying computational demands (execution time ranges 0.0536s 0.0584s), capability converge despite large initial (which reached 170o). properties render appropriate utilization by designers all operational modes, supplying high-precision estimations better than (0.5o) magnetometer noise levels, which (200 nT).
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ژورنال
عنوان ژورنال: International Journal of Robotics and Control Systems
سال: 2023
ISSN: ['2775-2658']
DOI: https://doi.org/10.31763/ijrcs.v3i3.988