Unmanned aerial vehicle close formation control based on the behavior mechanism in wild geese

2017 ◽  
Vol 47 (3) ◽  
pp. 230-238 ◽  
Author(s):  
ZiWei ZHOU ◽  
HaiBin DUAN ◽  
YanMing FAN
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Formation Control ◽  
Aerial Vehicle

scholarly journals Formation Control of Multi Unmanned Aerial Vehicle Systems Based on DDS Middleware

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 44211-44218
Author(s):  
Sami El-Ferik ◽  
Basem Almadani ◽  
Siddig Mustafa Elkhider
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Formation Control ◽  
Vehicle Systems ◽  
Aerial Vehicle

scholarly journals Iterative learning-based formation control for multiple quadrotor unmanned aerial vehicles

2020 ◽  
Vol 17 (2) ◽  
pp. 172988142091152
Author(s):  
Zhihui Zhao ◽  
Jing Wang ◽  
Yangquan Chen ◽  
Shuang Ju
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Formation Control ◽  
Iterative Learning ◽  
Aerial Vehicles ◽  
Aerial Vehicle ◽  
Precision Tracking ◽  
Virtual Leader ◽  
Circle Formation ◽  
Layer Control

A double-layer formation control is proposed to solve the repeated tasks for multiple quadrotor unmanned aerial vehicle systems. The first layer aims at achieving a formation target in which the iterative learning control is designed based on relative distance with neighbor unmanned aerial vehicles and absolute distance with virtual leader unmanned aerial vehicle. The formation controller is responsible for keeping the formation shape and generating the desired flying trajectories for each drones. The second layer control aims at achieving a high-precision tracking to desired flying trajectories which are generated from the formation controller. A double closed-loop proportional–derivative strategy is designed to ensure the accuracy of trajectory tracking for each individual drone. Simulations for the circle formation mission of the multiple quadrotor unmanned aerial vehicle system are given to verify the efficiency of the proposed method.

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