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A consistency constraint method for the detection capability of star sensors based on the image quality characteristics of star point detection
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A consistency constraint method for the detection capability of star sensors based on the image quality characteristics of star point detection
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Journal Article
A consistency constraint method for the detection capability of star sensors based on the image quality characteristics of star point detection
2025
Overview
The star sensor is a crucial instrument for realizing the attitude measurement of satellites and the control of aircraft. Its detection accuracy directly influences the attitude control performance of space platforms such as satellites and aircraft. Aiming at the problem of significant differences in the detection capabilities of star sensors in different batches at present, this paper proposes a consistency constraint method for the detection capability of star sensors based on the image quality characteristics of star point detection. This method establishes a star point image evaluation model that includes the Gray_mean, Star_size, Gray_concent, and Gray_balance, constructs a complete parameter constraint system, and realizes the quantitative evaluation and optimized control of the imaging quality of star points at different positions on the detector phase plane during optical alignment. The experiment was verified based on multiple batches of products of a certain type of star sensor. The results show that this method can stably control the detection capabilities of star sensors in different batches within ±20%, significantly improving the stability of the detection performance during the mass production of star sensors. The research findings provide an effective approach to ensuring the consistency of the detection capabilities of star sensors in different batches and possess important engineering value for guaranteeing the on-orbit performance of the networking tasks of spacecraft.
Publisher
IOP Publishing
Subject
