2022
DOI: 10.1155/2022/8289934
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Staring Imaging Attitude Tracking Control Laws for Video Satellites Based on Image Information by Hyperbolic Tangent Fuzzy Sliding Mode Control

Abstract: This paper studies the staring imaging attitude tracking and control for satellite videos based on image information. An improved temporal-spatial context learning algorithm is employed to extract the image information. Based on this, a hyperbolic tangent fuzzy sliding mode control law is proposed to achieve the attitude tracking and control. Furthermore, the hyperbolic tangent function and fuzzy logic system are introduced into the sliding mode controller. In the experiments, the improved temporal-spatial con… Show more

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Cited by 4 publications
(2 citation statements)
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“…Video microsatellites offer continuous target observation, which, coupled with short development cycles and low costs, makes microsatellites widely applicable. Gaze tracking of targets is a primary operational mode for video microsatellites [1,2]. However, for high-precision target gaze under high resolution and narrow field of view, the attitude control precision of microsatellites has strict requirements.…”
Section: Introductionmentioning
confidence: 99%
“…Video microsatellites offer continuous target observation, which, coupled with short development cycles and low costs, makes microsatellites widely applicable. Gaze tracking of targets is a primary operational mode for video microsatellites [1,2]. However, for high-precision target gaze under high resolution and narrow field of view, the attitude control precision of microsatellites has strict requirements.…”
Section: Introductionmentioning
confidence: 99%
“…in real-time target tracking, environmental monitoring, and other fields. Gaze tracking of targets is a primary operational mode for video microsatellites [1,2]. Especially for targets with unknown positions, it is necessary to use high-resolution cameras to image them and use image information to achieve continuous gaze tracking.…”
Section: Introductionmentioning
confidence: 99%