This project aims to develop an understanding of how machine learning can predict and control dynamic stall on aircraft wings to improve vehicle performance and control. This research firstly focuses on how can dynamic stall be reliably detected with the use of machine learning in realistic environments. This will then develop into how can we design effective strategies to mitigate and control the effects of dynamic stall.
Machine Learning, Aerodynamics
MEng Aerospace Engineering, University of Bath
Dr Sam Bull
Dr Tom Fincham Haines
Dr Ariadne Justi Bertolin
