Control and Robust Vision Relative Navigation for Autonomous Aerial Refueling
Control and Robust Vision Relative Navigation for Autonomous Aerial Refueling
- New search for: Guo, Jun
- New search for: Dong, Xin Min
- New search for: Wang, Long
- New search for: Li, Hong Bo
- New search for: Chen, Yong
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.
Document information
Control and Robust Vision Relative Navigation for Autonomous Aerial Refueling
Advanced Materials Research ; 383-390 ; 1953-1959
2011-11-22
7 pages
Article (Journal)
Electronic Resource
English
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