scholarly journals Intelligent Data Processing Technologies for Unmanned Aerial vehicles Navigation and Control

2016 ◽  
Vol 2 (45) ◽  
pp. 26 ◽  
Author(s):  
Vladimir Alexandrovich Knyaz ◽  
Boris Vaisovich Vishnyakov ◽  
Yuri Valentinovich Vizilter ◽  
Vladimir Sergeevich Gorbatsevich ◽  
Oleg Vjacheslavovich Vygolov
Keyword(s):  
Data Processing ◽  
Unmanned Aerial Vehicles ◽  
Processing Technologies ◽  
Aerial Vehicles ◽  
Navigation And Control ◽  
Intelligent Data Processing ◽  
And Control

A Compact Guidance, Navigation, and Control System for Unmanned Aerial Vehicles

2006 ◽  
Vol 3 (5) ◽  
pp. 187-213 ◽  
Author(s):  
Henrik B. Christophersen ◽  
R. Wayne Pickell ◽  
James C. Neidhoefer ◽  
Adrian A. Koller ◽  
Suresh K. Kannan ◽  
...  
Keyword(s):  
Control System ◽  
Unmanned Aerial Vehicles ◽  
Aerial Vehicles ◽  
Navigation And Control ◽  
And Control

Modeling and control of a quadrotor tail-sitter unmanned aerial vehicles

2021 ◽  
pp. 095965182110504
Author(s):  
Hongbo Xin ◽  
Yujie Wang ◽  
Xianzhong Gao ◽  
Qingyang Chen ◽  
Bingjie Zhu ◽  
...  
Keyword(s):  
Control System ◽  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Euler Angle ◽  
Level Flight ◽  
Aerial Vehicles ◽  
Flight Mode ◽  
Aerial Vehicle ◽  
Hover Flight ◽  
And Control

The tail-sitter unmanned aerial vehicles have the advantages of multi-rotors and fixed-wing aircrafts, such as vertical takeoff and landing, long endurance and high-speed cruise. These make the tail-sitter unmanned aerial vehicle capable for special tasks in complex environments. In this article, we present the modeling and the control system design for a quadrotor tail-sitter unmanned aerial vehicle whose main structure consists of a traditional quadrotor with four wings fixed on the four rotor arms. The key point of the control system is the transition process between hover flight mode and level flight mode. However, the normal Euler angle representation cannot tackle both of the hover and level flight modes because of the singularity when pitch angle tends to [Formula: see text]. The dual-Euler method using two Euler-angle representations in two body-fixed coordinate frames is presented to couple with this problem, which gives continuous attitude representation throughout the whole flight envelope. The control system is divided into hover and level controllers to adapt to the two different flight modes. The nonlinear dynamic inverse method is employed to realize fuselage rotation and attitude stabilization. In guidance control, the vector field method is used in level flight guidance logic, and the quadrotor guidance method is used in hover flight mode. The framework of the whole system is established by MATLAB and Simulink, and the effectiveness of the guidance and control algorithms are verified by simulation. Finally, the flight test of the prototype shows the feasibility of the whole system.

Design And Control Of Plasma Actuated Unmanned Aerial Vehicles (UAV)

2017 ◽  
Author(s):  
Magesh T. Rajan ◽  
Hao Xu ◽  
Clyde Avalos ◽  
Anthony Matheson ◽  
Eric Swinny
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Aerial Vehicles ◽  
And Control

Systematic Modeling of Rotor-Driving Dynamics for Small Unmanned Aerial Vehicles

2018 ◽  
Vol 06 (02) ◽  
pp. 81-93
Author(s):  
Limin Wu ◽  
Yijie Ke ◽  
Ben M. Chen
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Frequency Domain ◽  
Frequency Domain Analysis ◽  
Speed Controller ◽  
Aerial Vehicles ◽  
Dynamics And Control ◽  
Semi Empirical ◽  
And Control ◽  
Cifer Software ◽  
Systematic Modeling

This paper proposes a systematic modeling approach of rotor-driving dynamics for small unmanned aerial vehicles (UAVs) based on system identification and first principle-based methods. Both steady state response analyses and frequency-domain identifications are conducted for the rotor, and Comprehensive Identification from Frequency Responses (CIFER) software is mainly utilized for the frequency-domain analysis. Moreover, a novel semi-empirical model integrating the rotor and the electrical speed controller is presented and validated. The demonstrated results and model are promising in UAV dynamics and control applications.

Sensorship: the seen unseen of drone warfare

2016 ◽  
Author(s):  
Tom Holert
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Military Operations ◽  
Legal Problems ◽  
Aerial Vehicles ◽  
Drone Warfare ◽  
And Control ◽  
The Military ◽  
Blind Spots

Contemporary warfare has been significantly transformed by the promotion and implementation of unmanned aerial vehicles (or drones) into global military operations. Networked remote sensory vision and the drones’ capability to carry deadly missiles entail and facilitate increasingly individualised, racialised, and necropolitical military practices conceptualised as ‘surgical strikes’ or ‘targeted killings’, all in the name of ‘counterinsurgency’. In the absence of publicly accessible documentations of ‘drone vision’, images of drones themselves constitute what is arguably one of the most contested iconographies of the present. The ethical and legal problems engendered by the virtualisation of violence and the panoptical fantasies of persistent vision and continuous threat interfere with the commercial interests and the publicised ideas of ‘clean’ warfare of the military-industrial-media complex. Drones have become a fetishised icon of warfare running out of human measure and control and are henceforth challenged by activist strategies highlighting the blind spots and victims of their deployment.

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