A Novel Autonomous Celestial Integrated Navigation for Deep Space Exploration Based on Angle and Stellar Spectra Shift Velocity Measurement

Author:

Chen XiaoORCID,Sun Zhaowei,Zhang Wei,Xu Jun

Abstract

Traditional autonomous celestial navigation usually uses astronomical angle as measurement, which is a function of spacecraft’s position and can’t resolve the spacecraft’s velocity directly. To solve this problem, velocity measurement by stellar spectra shift is proposed in this paper. The autonomous celestial integrated navigation method is derived by combining velocity measurement with angle measurement, which can ensure the long-term high accuracy, real-time and continuous navigation performance for deep space exploration (DSE) missions. The observability of the integrated navigation system is analyzed. Moreover, the design of doppler navigator and hardware in-the-loop simulation system are described. Finally, a simulation example is employed to demonstration the feasibility and effectiveness of the proposed navigation algorithm.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference35 articles.

1. Principles and Methods of Spacecraft Celestial Navigation;Fang,2017

2. Adaptive Neural Control for Robotic Manipulators With Output Constraints and Uncertainties

3. Adaptive Fuzzy Neural Network Control for a Constrained Robot Using Impedance Learning

4. A new autonomous celestial navigation method for the lunar rover

5. New autonomous navigation method based on red shift;Zhang;Aerosp. Shanghai,2013

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