高有涛
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Autonomous Orbit Determination for Lagrangian Navigation Satellite Based on Neural Network Based State Observer
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Affiliation of Author(s):航天学院

Journal:INTERNATIONAL JOURNAL OF AEROSPACE ENGINEERING

Key Words:RESTRICTED 3-BODY PROBLEM SYSTEM

Abstract:In order to improve the accuracy of the dynamical model used in the orbit determination of the Lagrangian navigation satellites, the nonlinear perturbations acting on Lagrangian navigation satellites are estimated by a neural network. A neural network based state observer is applied to autonomously determine the orbits of Lagrangian navigation satellites using only satellite-to-satellite range. This autonomous orbit determination method does not require linearizing the dynamical mode. There is no need to calculate the transition matrix. It is proved that three satellite-to-satellite ranges are needed using this method; therefore, the navigation constellation should include four Lagrangian navigation satellites at least. Four satellites orbiting on the collinear libration orbits are chosen to construct a constellation which is used to demonstrate the utility of this method. Simulation results illustrate that the stable error of autonomous orbit determination is about 10m. The perturbation can be estimated by the neural network.

ISSN No.:1687-5966

Translation or Not:no

Date of Publication:2017-01-01

Co-author:Zhao, Tanran,Jin, Bingyu,Chen, Junkang,Xu, Bo

Correspondence Author:gyt

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Associate Professor
Supervisor of Master's Candidates

Gender:Male

Alma Mater:南京航空航天大学

Education Level:南京航空航天大学

Degree:Doctoral Degree in Engineering

School/Department:College of Astronautics

Discipline:Other specialties in Optical Engineering. Guidance, Navigation, and Control

Contact Information:ytgao@nuaa.edu.cn

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