scholarly journals Flight Dynamics Modeling and Control of a Novel Catapult Launched Tandem-Wing Micro Aerial Vehicle With Variable Sweep

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 42294-42308 ◽  
Author(s):  
Liang Gao ◽  
Hongzhe Jin ◽  
Jie Zhao ◽  
Hegao Cai ◽  
Yanhe Zhu
Keyword(s):  
Flight Dynamics ◽  
Dynamics Modeling ◽  
Micro Aerial Vehicle ◽  
Modeling And Control ◽  
Aerial Vehicle ◽  
And Control

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.

Dynamics modeling and control of active track tensioning system for tracked vehicle

2019 ◽  
Vol 26 (11-12) ◽  
pp. 989-1000
Author(s):  
Pingxin Wang ◽  
Xiaoting Rui ◽  
Hailong Yu ◽  
Bo Li
Keyword(s):  
Control Strategies ◽  
Stable Range ◽  
Dynamics Modeling ◽  
Modeling And Control ◽  
Flow Equations ◽  
Ground Pressure ◽  
Coupling System ◽  
Hydraulic Mechanism ◽  
And Control ◽  
Peak Value

Track assemblies are widely used to reduce vehicles’ ground pressure and improve their off-road performance. During off-road, the track tension has a significant effect on the performance of the crawler driving system. Previous control strategies only make use of the motions of partial road wheels. This paper develops a logical improvement to govern the motion of the track tensioner by using all road wheels. First, a dynamic model of the hydraulic-mechanism coupling system is established using the transfer matrix method for multibody systems and pressure-flow equations. Then, in order to get the angle of the idler arm, a modeling method of wheel envelope perimeter is developed, which is based on the locations of all wheels. Simulation results indicate that the control system maintains the wheel envelope perimeter almost constant while road wheels swing and decrease the possibility of peel-off and breakage of the track. It alleviates the track repeated stretch and keeps the tension in a stable range to reduce the fatigue damage. The control strategy can effectively reduce the peak value of the upper track tension during a vehicle passing through obstacles. This study suggests that the active track tensioning system can be implemented to improve the driving properties of tracked vehicles.

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