State Prediction Model Using Starlight Doppler for Orbital Maneuver and Its Application in XNAV
Publication: Journal of Aerospace Engineering
Volume 29, Issue 2
Abstract
During maneuvering flight, a spacecraft is subject to the engine thrust besides the gravitational force fields of celestial bodies. Moreover, the engine thrust model can hardly be built accurately due to its imbalance. Accordingly, the traditional orbit dynamic mode cannot predict the state accurately, which results in a great decline of navigation filter performance. In order to solve this problem, a state prediction model based on starlight Doppler is proposed for orbital maneuver. In this model, the velocity of the spacecraft is obtained from the starlight Doppler measurement instead of the orbit dynamic model. According to the measured velocities and the constant acceleration model, the state in the navigation filter can be predicted precisely. By this means, the state prediction is not influenced by engine thrust. The proposed state prediction model is applied in the XNAV (X-ray pulsar navigation) system for orbital maneuver. In this navigation system, the starlight Doppler velocity and the pulse time-of-arrival from the X-ray pulsar are utilized to predict and update the state, respectively. The simulation results demonstrate that the state provided by the starlight Doppler-based state prediction model is immune to the engine thrust. The starlight Doppler prediction-based XNAV can provide highly-accurate navigation information for spacecraft orbital maneuvers.
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Acknowledgments
This work was supported by the State Key Program of National Natural Science of China (Grant Number 61233005), Specialized Research Fund for the Doctoral Program of Higher Education (Grant Number 20124219120002), Natural Science Foundation of Hubei Province of China (Grant Number 2013CFB333), and National Basic Research Program of China (Grant Number 2014CB744202).
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Published In
Journal of Aerospace Engineering
Volume 29 • Issue 2 • March 2016
Copyright
© 2015 American Society of Civil Engineers.
History
Received: Dec 18, 2014
Accepted: May 14, 2015
Published online: Aug 13, 2015
Discussion open until: Jan 13, 2016
Published in print: Mar 1, 2016
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