A multi-parameter self-diagnosis and identification method suitable for satellite illumination conditions

Abstract

The invention relates to a multi-parameter autonomous diagnosis and identification method suitable for satellite illumination conditions, and belongs to the field of on-orbit satellite illumination condition diagnosis and identification. The method comprises the following steps: 1, acquiring a measurement signal of a logic sun sensor, sun included angle data, a measurement signal of an analog sunsensor and an output current of a solar cell array; 2, judging whether the output of the measurement signal of the logic sun sensor is TRUE or FALSE; 3, judging whether the output of the solar included angle data is TRUE or FALSE; 4, judging whether the output of the measurement signal of the analog sun sensor is TRUE or FALSE; 5, judging whether the output of the output current of the solar cellarray is TRUE or FALSE; 6, establishing a logic tree; and 7, judging whether the satellite is in an illumination area or not. According to the method, high-reliability illumination area-earth shadow area state detection can be realized according to the condition of on-orbit satellite telemetry parameter setting, and meanwhile, the method is simple to operate and high in applicability.

Description

technical field [0001] The invention belongs to the field of on-orbit satellite illumination condition diagnosis and identification, and relates to a multi-parameter self-diagnosis and identification method suitable for satellite illumination conditions. Background technique [0002] With the development of my country's aerospace industry, the number of satellites in orbit is increasing year by year. In order to ensure the safe and stable operation of satellites, it is required to detect satellite faults in orbit in a timely and rapid manner. It is necessary to design an automated monitoring method and system to interpret thousands of telemetry parameters. Among them, the "parameter-state correlation monitoring method" is A very important kind. [0003] The parameter-state correlation monitoring method needs to combine the telemetry parameter value with the satellite state for interpretation. The satellite state is the premise of the telemetry parameter value interpretation...

AI Technical Summary

Problems solved by technology

However, the sun sensor is designed to prevent stray light interference, and its judgment threshold is too high, which will cause occasional recognition errors, which have actually occurred many times in orbit; and if the sun sensor fails, its judgment results will be wrong, and its reliability remains to be seen. increase; in addition, some satellites may not be equipped with sun sensor equipment

[0012] To sum up, the existing methods are difficult to realize the automatic identification of the illuminated area and the shadow area of ​​the satellite in orbit simply and reliably.

Images