Abstract Based on the jet transport technique, this paper proposes a novel nonlinear Kalman filter for simultaneously estimating the spacecraft state vector and uncertain parameters, either physically related with the spacecraft or with the measurement procedure. Two different coordinate representations, including Cartesian and hybrid geostationary orbital elements, are exploited in the new nonlinear estimators. The performance and sensitivity analyses of the proposed jet transport-based nonlinear estimators are assessed by numerical simulations and compared with the classical extended Kalman filter.
Highlights A novel nonlinear filter is proposed for joint state and parameter estimation. The high-fidelity dynamic models including four dominant perturbations are studied. The pros and cons of two different coordinate implementations are discussed. Two illustrative examples shows the better behaviors of the proposed filter.
Jet transport-based nonlinear state and parameter estimation for geostationary spacecraft
Acta Astronautica ; 164 ; 321-333
2019-08-14
13 pages
Article (Journal)
Electronic Resource
English
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