JOURNAL ARTICLE

Autonomous Relative Navigation for Formation Flying Satellites

Abstract

Autonomous navigation technology of formation flying satellites is one of the key technologies for formation flying. The objective of this paper is to derive a set of Hill-like equations suited for the tandem formation and investigate the relative state (including relative position, relative velocity and relative attitude) determination of satellites flying in formation based on the relative distance measurements of GPS like sensors. The approach developed here uses two-point measurement of the relative orbit state to establish relative orbit and attitude kinematics and measuring equations, while no velocity measuring available. State estimation is achieved through the extended Kalman filter technology. Simulation results indicate that this approach is simple, effective and suitable for high accuracy relative navigation of formation flying satellites.

Keywords:
Relative velocity Global Positioning System Relative motion Kinematics equations Kinematics Kalman filter Computer science Extended Kalman filter Position (finance) Orbit determination Aerospace engineering Orbit (dynamics) Geodesy Simulation Remote sensing Physics Engineering Geography Telecommunications Artificial intelligence Mobile robot Robot kinematics Robot Classical mechanics

Metrics

13
Cited By
3.55
FWCI (Field Weighted Citation Impact)
10
Refs
0.95
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Inertial Sensor and Navigation
Physical Sciences →  Engineering →  Aerospace Engineering
Space Satellite Systems and Control
Physical Sciences →  Engineering →  Aerospace Engineering
Spacecraft Dynamics and Control
Physical Sciences →  Engineering →  Aerospace Engineering

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