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Robust image-based control for spacecraft uncooperative rendezvous and synchronization using a zooming camera

机译:基于强大的基于图像的航天器不合作的Rendezvous和使用缩放摄像机的同步

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This paper presents a new image-based control scheme for spacecraft rendezvous and synchronization with an uncooperative tumbling target, which is capable of autonomously adjusting the camera focal length, in order to extend the working range of visual servoing and guarantee that the target remains within the camera field-of-view. Unlike conventional visual servoing, the new scheme is based on a system model that is invariant to changes in camera-intrinsic parameters. An active zooming strategy is proposed which ensures that the target remains in the image plane with a proper size during the visual servoing. By utilizing the image features as feedback information, a finite-time controller is designed, which is robust to the unknown target's motion as well as the external perturbations, with the ability to estimate and adapt to the upper bound of the uncertainties. The closed-loop system stability is proved using the Lyapunov theory. Simulation scenarios are studied for two different onboard cameras, namely, a fixed-focal-length camera and a zooming camera. In addition, a comparative study with a conventional sliding-mode controller is performed to evaluate the convergence and accuracy of the proposed control scheme.
机译:本文提出了一种用于航天器对的基于图像的控制方案,用于与不合作的翻滚目标同步,能够自动调整相机焦距,以扩展视觉伺服的工作范围并保证目标仍然存在相机视野视图。与传统的视觉伺服不同,新方案基于系统模型,其不变于更改相机内联参数。提出了一种有源缩放策略,其确保目标在视觉伺服期间具有适当大小的图像平面中的图像平面。通过利用图像特征作为反馈信息,设计有限时间控制器,其对未知目标的运动以及外部扰动具有鲁棒性,其能够估计和适应不确定性的上限。使用Lyapunov理论证明了闭环系统稳定性。研究了两台不同的车载相机,即固定焦距相机和缩放摄像头的仿真方案。另外,执行具有传统滑模控制器的比较研究以评估所提出的控制方案的收敛性和准确性。

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