Neural-network-based navigation and control of unmanned aerial vehicles for detecting unintended emissions

2012 ◽  
Author(s):  
H. Zargarzadeh ◽  
David Nodland ◽  
V. Thotla ◽  
S. Jagannathan ◽  
S. Agarwal
Keyword(s):  
Neural Network ◽  
Unmanned Aerial Vehicles ◽  
Aerial Vehicles ◽  
Navigation And Control ◽  
And Control

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

Detection and localization of helipad in autonomous UAV landing: a coupled visual-inertial approach with artificial intelligence

2020 ◽  
Vol 71 (7) ◽  
pp. 828-839
Author(s):  
Thinh Hoang Dinh ◽  
Hieu Le Thi Hong
Keyword(s):  
Neural Network ◽  
Unmanned Aerial Vehicles ◽  
Fiducial Marker ◽  
Localization Algorithm ◽  
Challenging Problem ◽  
Autonomous Landing ◽  
Aerial Vehicles ◽  
Set Up ◽  
Detection And Localization ◽  
Rotary Wing

Autonomous landing of rotary wing type unmanned aerial vehicles is a challenging problem and key to autonomous aerial fleet operation. We propose a method for localizing the UAV around the helipad, that is to estimate the relative position of the helipad with respect to the UAV. This data is highly desirable to design controllers that have robust and consistent control characteristics and can find applications in search – rescue operations. AI-based neural network is set up for helipad detection, followed by optimization by the localization algorithm. The performance of this approach is compared against fiducial marker approach, demonstrating good consensus between two estimations

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
Sign in / Sign up

Export Citation Format

Share Document