Image-Based Visual Tracking Attitude Control Research on Small Video Satellites for Space Targets

Mengmeng Wang, Cai-zhi Fan, Chao Song
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Abstract

Small video satellites are capable of conducting real-time continuous observation of space targets through attitude control and have broad application prospects. Since the traditional method of tracking based on location information needs the priori location information of the known target, effective tracking observation cannot be accomplished for non-cooperative targets. In this paper, we are going to design a visual tracking attitude control method for spatial targets based on image information, which can perform autonomous tracking observation for both cooperative and non-cooperative targets. Firstly, based on the principle of perspective projection, the internal and external parameter model of the camera is derived, and the conversion relationship between the inertial coordinate system and the pixel coordinate system of the on-board camera is established. Then the attitude dynamical model and kinematical model of the rigid satellite are given. The desired attitude and desired angular velocity of the small video satellite are derived based on the deviation information of the location coordinates of the target in the image plane projection point from the desired coordinates. Using the attitude error and angular velocity error as the control feedback quantity, the space target tracking PD controller is designed. The global stability of the closed-loop control system is proved using Barbalat theorem. The simulation results show that the proposed control method is effective for the visual tracking attitude control of space targets.
空间目标小视频卫星基于图像的视觉跟踪姿态控制研究
小型视频卫星能够通过姿态控制对空间目标进行实时连续观测,具有广阔的应用前景。传统的基于位置信息的跟踪方法需要已知目标的先验位置信息,无法对非合作目标进行有效的跟踪观察。本文将设计一种基于图像信息的空间目标视觉跟踪姿态控制方法,该方法既可以对合作目标进行自主跟踪观测,也可以对非合作目标进行自主跟踪观测。首先,基于透视投影原理,推导了相机的内外参数模型,建立了相机的惯性坐标系与像素坐标系的转换关系;然后给出了刚体卫星的姿态动力学模型和运动学模型。基于图像平面投影点目标位置坐标与期望坐标的偏差信息,推导出小视频卫星的期望姿态和期望角速度。以姿态误差和角速度误差为控制反馈量,设计了空间目标跟踪PD控制器。利用Barbalat定理证明了闭环控制系统的全局稳定性。仿真结果表明,所提出的控制方法对空间目标的视觉跟踪姿态控制是有效的。
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