scholarly journals A sectorial fuzzy consensus algorithm for the formation flight of multiple quadrotor unmanned aerial vehicles

2020 ◽  
Vol 12 ◽  
pp. 175682932097357
Author(s):  
E Javier Ollervides-Vazquez ◽  
Erik G Rojo-Rodriguez ◽  
Octavio Garcia-Salazar ◽  
Luis Amezquita-Brooks ◽  
Pedro Castillo ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Fuzzy Controller ◽  
Fuzzy Theory ◽  
Lyapunov Theory ◽  
Formation Flight ◽  
Consensus Algorithm ◽  
State Variables ◽  
Globally Asymptotically Stable ◽  
Aerial Vehicles ◽  
Quadrotor Unmanned Aerial Vehicles

This paper presents an algorithm based on fuzzy theory for the formation flight of the multi-quadrotors. For this purpose, the mathematical model of N-quadrotor unmanned aerial vehicles is presented using the Newton-Euler formulation. The strategy of the formation flight is based on a structure composed by a sectorial fuzzy controller and the linear systems whose state variables are the position and velocity of the ith quadrotor. The stability analysis is described as a generalized form for N-quadrotor unmanned aerial vehicles and it is based on the Lyapunov theory. This analysis demonstrates that the closed-loop system is globally asymptotically stable so that the quadrotors unmanned aerial vehicles reach the consensus. Numerical simulation demonstrates the robustness of the proposed scheme for the formation flight even in the presence of disturbances. Finally, experimental results show the feasibility of the proposed algorithm for the formation flight of multiple unmanned aerial vehicles.

scholarly journals Multilayer Interval Type-2 Fuzzy Controller Design for Quadcopter Unmanned Aerial Vehicles Using Jaya Algorithm

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 181246-181257
Author(s):  
Tien-Loc Le ◽  
Nguyen Vu Quynh ◽  
Ngo Kim Long ◽  
Sung Kyung Hong
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Jaya Algorithm ◽  
Aerial Vehicles ◽  
Interval Type

scholarly journals Vibration reduction for vision systems on board unmanned aerial vehicles using a neuro-fuzzy controller

2013 ◽  
Vol 20 (15) ◽  
pp. 2243-2253 ◽  
Author(s):  
G Nicolás Marichal ◽  
María Tomás-Rodríguez ◽  
Ángela Hernández ◽  
Salvador Castillo-Rivera ◽  
P Campoy
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Fuzzy Controller ◽  
Vibration Reduction ◽  
Vision Systems ◽  
Aerial Vehicles ◽  
Neuro Fuzzy

Development of thickened semi-synthetic engine oil M-5z / 20 AERO for four-stroke gasoline engines aircraft piston of unmanned aerial vehicles (UAVs)

2020 ◽  
Vol 06 ◽  
pp. 44-47
Author(s):  
A.A. Moykin ◽  
◽  
A.S. Medzhibovsky ◽  
S.A. Kriushin ◽  
M.V. Seleznev ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Engine Oil ◽  
Motor Oil ◽  
Gasoline Engines ◽  
State Research Institute ◽  
Technical Requirements ◽  
Aerial Vehicles ◽  
State Research ◽  
Industrial Batch ◽  
The Russian Federation

Nowadays, the creation of remotely-piloted aerial vehicles for various purposes is regarded as one of the most relevant and promising trends of aircraft development. FAU "25 State Research Institute of Chemmotology of the Ministry of Defense of the Russian Federation" have studied the operation features of aircraft piston engines and developed technical requirements for motor oil for piston four-stroke UAV engines, as well as a new engine oil M-5z/20 AERO in cooperation with NPP KVALITET, LLC. Based on the complex of qualification tests, the stated operational properties of the experimental-industrial batch of M-5z/20 AERO oil are generally confirmed.

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