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Autonomous Fly-by Guidance and Navigation

Autonomous Fly-by Guidance and Navigation


This research aims to develop an autonomous flyby guidance and navigation system for deep-space probes. By considering a fly-by algorithm that can perform the guidance and navigation using only the information possessed by the spacecraft and its limited computational resources, we aim to realize a more robust system than the current orbit control laws for deep space probes, which require communication with the earth.



Guided navigation for flybys in deep space uses a guided navigation method in which a computer on the ground performs guided navigation calculations based on observation data from the spacecraft, and the spacecraft performs orbit control based on the results of the calculations. In this method, communication between the spacecraft and the earth is essential, but the communication time is extremely long, making it impossible to perform sequential control based on the spacecraft's status at each time, and placing an extremely large burden on the ground control side just prior to the flyby. The operational robustness of the current guidance and navigation system is therefore very low. In this context, if a spacecraft can autonomously perform guided navigation without communicating with the earth, the spacecraft will be able to perform orbit control based on the state of the spacecraft at each time, and the burden on the ground control side will also be reduced, thus improving the feasibility of deep space exploration.
In order to make the guidance and navigation of a spacecraft autonomous, an algorithm that can perform the guidance and navigation using only the information possessed by the spacecraft and the spacecraft's limited computational resources is required. It is also necessary to take into account the characteristics of the flyby, such as the high relative velocity of the spacecraft with respect to the target object. This study examines a guided navigation law using an algorithm that performs sequential calculations on the spacecraft's onboard computer. We are also studying a dynamic model for the spacecraft to estimate its own position and arrival position based on observation data. Through these studies, we aim to develop a guidance and navigation system that can be applied to deep-spacecraft flybys.