Transactions of Nanjing University of Aeronautics & Astronautics
Geomagnetic Orbit Determination Using Fuzzy Regulating Unscented Kalman Filter
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Abstract:
Geomagnetic orbit determination fits for nanosatellites which pursue low cost and high-density ratio， but one of its disadvantages is the poor position accuracy introduced by magnetic bias. Here， a new method， named the fuzzy regulating unscented Kalman filter （FRUKF）， is proposed. The magnetic bias is regarded as a random walk model， and a fuzzy regulator is designed to estimate the magnetic bias more accurately. The input of the regulator is the derivative of magnetic bias estimated from unscented Kalman filter （UKF）. According to the fuzzy rule， the process noise covariance is adaptively determined. The FRUKF is evaluated using the real-flight data of the SWARM-A. The experimental results show that the root-mean-square （RMS） position error is 3.1 km and the convergence time is shorter than the traditional way.
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This study was supported by the National Natural Science Foundation of China （No. 61673212）.
Clc Number:
V44
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