scholarly journals Issues of physical interaction of unmanned aircraft manipulators with ground objects

2018 ◽  
Vol 161 ◽  
pp. 03021 ◽  
Author(s):  
Vinh Nguyen ◽  
Oksana Solenaya ◽  
Petr Smirnov
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Flight Control ◽  
Unmanned Aircraft ◽  
Control Problems ◽  
Physical Interaction ◽  
Power Resources ◽  
The Earth ◽  
Manipulation System ◽  
Aerial Vehicle ◽  
Surrounding Space

Adding an onboard manipulation system to an unmanned aerial vehicle (UAV) significantly complicates framework, functioning algorithms, and leads to an increase in overall dimensions. The physical interaction of the manipulator with objects influences to unstabilization of UAV, which in turn leads to difficulties in positioning the UAV and reduces the accuracy of gripper motion. In addition, the physical interaction of the manipulator with objects requires increased power resources of UAVs. The article analyzes modern research of UAVs with a manipulator, including flight control problems, avoidance of contact with the earth, surrounding space, as well as manipulations with the captured object. On the basis of the analysis, a list of new problems arising in the physical interaction of UAVs with objects through an embedded manipulator is formulated.

scholarly journals MODELLING OF THE UNMANNED AERIAL VEHICLES FLIGHT CONTROL SYSTEM

Aviation ◽  
2021 ◽  
Vol 25 (2) ◽  
pp. 79-85
Author(s):  
Mirosław Adamski
Keyword(s):  
Control System ◽  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Flight Control ◽  
Aerodynamic Drag ◽  
Unmanned Aircraft ◽  
Simulation Program ◽  
Flight Control System ◽  
Aerial Vehicles ◽  
Aerial Vehicle

The article is an independent work containing the author’s ingenious research methodology and the model of the control system of Unmanned Aerial Vehicles. Furthermore a unique and world first mathematical model of an Unmanned Aerial Vehicle was developed, as well as a simulation program which enabled to investigate the control system of any Unmanned Aerial Vehicles in the tilt duct pitch (altitude), bank (direction), deviation and velocity, depending upon the variable values of the steering coefficient, reinforcement coefficient and the derivative constant. The research program was written in the language of the C++ as the MFC class, on the MS Visual Studio 2010 platform. The main issue resolved in the article is the pioneering research of the process of control during manual and semi-automatic guidance of the Unmanned Aerial Vehicle, with a jet propulsion system to the coordinates of preset points of the flight route. Modelling of the flight control system takes into account: the logical network of operations of the simulation program, the pilot-operator model, the set motion and control deviations as well as the flight control laws. In addition, modeling of the control system takes into account the drive model, engine dynamics, engine thrust, the model of steering actuators and the model of external loads. In contrast, the external load model takes into account the external forces acting on the unmanned aircraft, including gravitational forces and moments, aerodynamic forces and moments, aerodynamic drag, aerodynamic lateral forces, aerodynamic lift forces, aerodynamic heeling moment, mechanism of local angle of attack from damping torque and forces and moments from the engine.

Crew Simulations for Unmanned Aerial Vehicle (UAV) Applications: Sustained Effects, Shift Factors, Interface Issues, and Crew Size

1998 ◽  
Vol 42 (1) ◽  
pp. 143-147 ◽  
Author(s):  
Michael J. Barnes ◽  
Michael F. Matz
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Flight Control ◽  
Short Range ◽  
Low Cost ◽  
Control Problems ◽  
Simulation Experiments ◽  
Sustained Effects ◽  
Size Constraints ◽  
Single Operator ◽  
Aerial Vehicle

The Unmanned Aerial Vehicle (UAV) offers the potential to view future battlespaces at low cost while increasing crew survivability. The purpose of the two simulation experiments was to examine crew performance in controlling the UAV and exploiting close and short-range targets for 12-hour shifts in both day and night conditions during 72-hour operational tempos. In the first experiment, four two-person crews each conducted three 8 to 10 hour missions. The data indicated no performance decrements over either mission length or mission day but did suggest possible problems with nocturnal operations. The second experiment investigated a single operator workstation configuration. The 16 operators evinced training problems but showed no significant effects for rotation schedule and day and night conditions. Analysis of simulated crashes indicated flight control problems related to training, split attention, and display size constraints.

Joint Mechanical Design and Flight Control Optimization of a Nature-Inspired Unmanned Aerial Vehicle via Collaborative Co-Evolution

2021 ◽  
Vol 6 (2) ◽  
pp. 2044-2051
Author(s):  
Danial Sufiyan ◽  
Luke Soe Thura Win ◽  
Shane Kyi Hla Win ◽  
Gim Song Soh ◽  
Shaohui Foong
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Flight Control ◽  
Mechanical Design ◽  
Control Optimization ◽  
Aerial Vehicle

scholarly journals 1A2-O11 Development and Flight Control of an Unmanned Aerial Vehicle That Has a Vertical Canard(Aerial Robot and Mechatronics)

2011 ◽  
Vol 2011 (0) ◽  
pp. _1A2-O11_1-_1A2-O11_4
Author(s):  
Kenta Go ◽  
Atsushi KONNO ◽  
Takaaki MATSUMOTO ◽  
Atsushi OOSEDO ◽  
Kouji MASUKO ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Flight Control ◽  
Aerial Robot ◽  
Aerial Vehicle

scholarly journals Design and Simulation of Eight-Rotor Unmanned Aerial Vehicle Based on Hybrid Control System

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Xueqiang Shen ◽  
Jiwei Fan ◽  
Haiqing Wang
Keyword(s):  
Control System ◽  
Unmanned Aerial Vehicle ◽  
Flight Control ◽  
Hybrid Control ◽  
Dynamic Performance ◽  
System Response ◽  
Hybrid Controller ◽  
Aerial Vehicle ◽  
Switching Method ◽  
Hybrid Control System

In order to control the position and attitude of unmanned aerial vehicle (UAV) better in different environments, this study proposed a hybrid control system with backstepping and PID method for eight-rotor UAV in different flight conditions and designed a switching method based on altitude and attitude angle of UAV. The switched process of hybrid controller while UAV taking off, landing, and disturbance under the gust is verified in MATLAB/Simulink. A set of appropriate controllers always matches to the flight of UAV in different circumstances, which can speed up the system response and reduce the steady-state error to improve stability. The simulation results show that the hybrid control system can suppress the drift efficiently under gusts, enhance the dynamic performance and stability of the system, and meet the position and attitude of flight control requirements.

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