From: Uniaxial attitude control of uncrewed aerial vehicle with thrust vectoring under model variations by deep reinforcement learning and domain randomization
Model
Weight, COG, Inertia
\(I_{yy}\)
m
\((x_G, z_G)\)
Model 1
–
-
Model 2
+6.1 \(\%\)
(+ 3.8, + 7.5) mm
+ 11\(\%\)
Model 3
+10 \(\%\)
(+ 6.4, + 13) mm
+ 20\(\%\)
Model 4
+15 \(\%\)
(+ 9.6, + 17) mm
+ 28\(\%\)