Autonomous MAV Landing on a Moving Platform with Estimation of Unknown Turbulent Wind Conditions
This paper presents an autonomous landing of a micro aerial vehicle (MAV) on a moving platform immersed in turbulent wind conditions. We estimate the 3D wind vector acting on the vehicle using a model-based and a deep learning-based approach. A disturbance-aware boundary layer sliding controller the...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
American Institute of Aeronautics and Astronautics
2021
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| Online Access: | https://hdl.handle.net/1721.1/130565 |