Design of On-Orbit Monitoring Method for Small Satellite Payload Equipment Based on Grey Prediction

Abstract

The realization of the on-orbit function of small satellites mainly depends on the normal operation of payload equipment. At present, the number of small satellites in orbit is increasing, same as the tasks of the on-orbit management are increasing. At the same time, many factors, such as the large differences between payload equipment, the high proportion of overseas work, and the working environment of short-term power on orbit, are not conducive to the on-orbit health monitoring of payload equipment. In order to find out the potential faults of payload equipment in time, a kind of on-orbit monitoring method based on grey prediction is proposed. The method optimizes the normal monitoring method and makes grey prediction analysis after data processing of the original telemetry information. At the same time, the monitoring criteria are adjusted autonomously according to the analysis results, so as to achieve early warning and reduce the operation process of ground personnel. High precision and high feasibility of the grey prediction model are verified through simulation by selecting the telemetry information of a satellite. This monitoring method can be further extended to the parameter monitoring of other single equipment and the applications of other types of satellite missions.