Control and Robust Vision Relative Navigation for Autonomous Aerial Refueling

Abstract:

A relative navigation and control scheme based on multiple camera systems was presented for autonomous operations in close proximity for autonomous air refueling (AAR) mission. The relative navigation system employed non-iterative fast global optimal pose estimation algorithm, and the result was filtered and fused with velocity’s measurements to increase accuracy and robustness by using Kalman filtering algorithm. To attenuate effect of tanker’s vortex and atmospheric turbulence, an H-infinity tracking control law was designed for docking phase of air refueling. Simulation results showed that accuracy of both vision navigation system and trajectory tracking could meet requirements of aerial refueling.

• Periodical: Advanced Materials Research (Volumes 383-390)
• Pages: 1953-1959
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.383-390.1953
• Online since: November 2011
• Authors: Jun Guo, Xin Min Dong, Long Wang, Hong Bo Li, Yong Chen
• Keywords: Autonomous Aerial Refueling, Kalman Filter (KF), Multiple Camera Systems, Pose Estimation

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