High-Level Modeling and Control of the Bebop 2 Micro Aerial Vehicle

2020 ◽  
Author(s):  
Anthony Oliveira Pinto ◽  
Harrison Neves Marciano ◽  
Vinicius Pacheco Bacheti ◽  
Mauro Sergio Mafra Moreira ◽  
Alexandre Santos Brandao ◽  
...  
Keyword(s):  
Micro Aerial Vehicle ◽  
Modeling And Control ◽  
Aerial Vehicle ◽  
High Level Modeling ◽  
High Level ◽  
And Control

Development of Autonomous Quad-Tilt-Wing (QTW) Unmanned Aerial Vehicle: Design, Modeling, and Control

2010 ◽  
pp. 77-93 ◽  
Author(s):  
Kenzo Nonami ◽  
Farid Kendoul ◽  
Satoshi Suzuki ◽  
Wei Wang ◽  
Daisuke Nakazawa
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Vehicle Design ◽  
Modeling And Control ◽  
Aerial Vehicle ◽  
And Control

Dynamic Modeling and Control Techniques for a Quadrotor

2019 ◽  
pp. 20-66
Author(s):  
Heba Elkholy ◽  
Maki K. Habib
Keyword(s):  
Pid Controller ◽  
Degrees Of Freedom ◽  
Sliding Mode ◽  
Dynamic Performance ◽  
Simulation Environment ◽  
Modeling And Control ◽  
Controller Gain ◽  
Aerial Vehicle ◽  
And Control ◽  
The Mathematical Model

This chapter presents the detailed dynamic model of a Vertical Take-Off and Landing (VTOL) type Unmanned Aerial Vehicle (UAV) known as the quadrotor. The mathematical model is derived based on Newton Euler formalism. This is followed by the development of a simulation environment on which the developed model is verified. Four control algorithms are developed to control the quadrotor's degrees of freedom: a linear PID controller, Gain Scheduling-based PID controller, nonlinear Sliding Mode, and Backstepping controllers. The performances of these controllers are compared through the developed simulation environment in terms of their dynamic performance, stability, and the effect of possible disturbances.

Modeling and control of a quadrotor unmanned aerial vehicle using type-2 fuzzy systems

2021 ◽  
pp. 25-46
Author(s):  
Ayad Al-Mahturi ◽  
Fendy Santoso ◽  
Matthew A. Garratt ◽  
Sreenatha G. Anavatti
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Fuzzy Systems ◽  
Modeling And Control ◽  
Aerial Vehicle ◽  
And Control

Survey on Aerial Manipulator: System, Modeling, and Control

Robotica ◽  
2019 ◽  
Vol 38 (7) ◽  
pp. 1288-1317 ◽  
Author(s):  
Xiangdong Meng ◽  
Yuqing He ◽  
Jianda Han
Keyword(s):  
System Modeling ◽  
Future Research ◽  
Typical Application ◽  
Modeling And Control ◽  
Aerial Manipulator ◽  
Initial Appearance ◽  
Aerial Vehicle ◽  
New Type ◽  
And Control ◽  
Flying Robot

SUMMARYThe aerial manipulator is a special and new type of flying robot composed of a rotorcraft unmanned aerial vehicle (UAV) and a/several manipulator/s. It has gained a lot of attention since its initial appearance in 2010. This is mainly because it enables traditional UAVs to conduct versatile manipulating tasks from air, considerably enriching their applications. In this survey, a complete and systematic review of related research on this topic is conducted. First, various types of structure designs of aerial manipulators are listed out. Subsequently, the modeling and control methods are introduced in detail from the perspective of two types of typical application cases: free-flight and motion-restricted operations. Finally, challenges for future research are presented.

Longitudinal modelling and control of a flapping-wing micro aerial vehicle

2010 ◽  
Vol 18 (7) ◽  
pp. 679-690 ◽  
Author(s):  
Thomas Rakotomamonjy ◽  
Mustapha Ouladsine ◽  
Thierry Le Moing
Keyword(s):  
Flapping Wing ◽  
Micro Aerial Vehicle ◽  
Aerial Vehicle ◽  
And Control

Design Optimization, Modeling, and Control of Unmanned Aerial Vehicle Lifted By Coandă Effect

2017 ◽  
Vol 22 (3) ◽  
pp. 1327-1336 ◽  
Author(s):  
Hyunyong Lee ◽  
Seonhye Han ◽  
Hyoju Lee ◽  
Jaehyeok Jeon ◽  
Choonghan Lee ◽  
...  
Keyword(s):  
Design Optimization ◽  
Unmanned Aerial Vehicle ◽  
Coanda Effect ◽  
Optimization Modeling ◽  
Modeling And Control ◽  
Aerial Vehicle ◽  
Coandǎ Effect ◽  
And Control
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