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基于双曲正切模糊滑模控制的视频卫星凝视成像姿态跟踪控制律研究

Staring Imaging Attitude Tracking Control Laws for Video Satellites Based on Image Information by Hyperbolic Tangent Fuzzy Sliding Mode Control.

作者信息

Pei Wenjing

机构信息

The Seventh Research Division and the Center for Information and Control, School of Automation Science and Electrical Engineering, Beihang University (BUAA), Beijing 100191, China.

出版信息

Comput Intell Neurosci. 2022 Aug 10;2022:8289934. doi: 10.1155/2022/8289934. eCollection 2022.

DOI:10.1155/2022/8289934
PMID:36110911
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9470366/
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 context learning algorithm is applied for the image information of the space target video sequence captured by Jilin-1 in orbit, where the image information is used as the input of the control loop. Moreover, the proposed method is realized through simulation. Besides, the image change caused by attitude adjustment is achieved successfully, and the target imaging can be located in the center of the image plane to realize the gaze tracking control of the space target effectively.

摘要

本文研究基于图像信息的卫星视频凝视成像姿态跟踪与控制。采用一种改进的时空上下文学习算法来提取图像信息。在此基础上，提出一种双曲正切模糊滑模控制律来实现姿态跟踪与控制。此外，将双曲正切函数和模糊逻辑系统引入滑模控制器。在实验中，将改进的时空上下文学习算法应用于吉林一号在轨拍摄的空间目标视频序列的图像信息，该图像信息作为控制回路的输入。此外，通过仿真实现了所提方法。此外，成功实现了由姿态调整引起的图像变化，目标成像能够位于图像平面中心，有效实现了空间目标的凝视跟踪控制。

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Needles in a Haystack: Tracking City-Scale Moving Vehicles from Continuously Moving Satellite.大海捞针：从连续移动的卫星追踪城市规模的移动车辆。
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Finite-Time Attitude Tracking Control for Spacecraft Using Terminal Sliding Mode and Chebyshev Neural Network.
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IEEE Trans Syst Man Cybern B Cybern. 2011 Aug;41(4):950-63. doi: 10.1109/TSMCB.2010.2101592. Epub 2011 Jan 24.