With the high focus on autonomous aerial refueling recently, it becomes increasingly urgent to design efficient methods or algorithms to solve AAR problems in complicated aerial environments. Apart from the complex aerodynamic disturbance, another problem is the pose estimation error caused by the camera calibration error, installation error, or 3D object modeling error, which may not satisfy the highly accurate docking. The main objective of the effort described in this paper is the implementation of an image-based visual servo control method, which contains the establishment of an image-based visual servo model involving the receiver's dynamics and the design of the corresponding controller. Simulation results indicate that the proposed method can make the system dock successfully under complicated conditions and improve the robustness against pose estimation error.

翻译：随着近年来对自主空中加油的高度关注，在复杂空中环境下设计高效方法或算法解决自主空中加油问题的需求日益迫切。除复杂气动干扰外，另一个问题是相机标定误差、安装误差或三维物体建模误差导致的位姿估计误差，这可能无法满足高精度对接要求。本文所述工作的主要目标是实现一种基于图像的视觉伺服控制方法，该方法包括建立包含受油机动力学特性的图像视觉伺服模型以及设计相应的控制器。仿真结果表明，所提方法能使系统在复杂条件下成功对接，并提高对位姿估计误差的鲁棒性。