06.2 - Flight Dynamics and Control (UAV related)
OPTIMAL HOVERING WING KINEMATICS OF FLAPPING-WING MODEL USING REINFORCEMENT LEARNING
H.-H. Yang¹, S.-G. Lee¹, Y.-J. Han¹, J.-H. Han¹; ¹Korea Advanced Institute of Science and Technology, South Korea
The unsteady vortex method is modified to estimate the contribution of leading-edge vortices and was used to simulate the unsteady aerodynamics of the flapping wing model. The reinforcement learning environment to train flapping wing kinematics is established based on a deep neural network. The optimal hovering wing kinematics that leads to maximum lift and lift/drag ratio is found.