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.

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 Automatic Control and Model Verification for a Small Aileron-Less Hand-Launched Solar-Powered Unmanned Aerial Vehicle

Electronics ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 364 ◽  
Author(s):  
An Guo ◽  
Zhou Zhou ◽  
Xiaoping Zhu ◽  
Xin Zhao ◽  
Yuxin Ding
Keyword(s):  
Control System ◽  
Unmanned Aerial Vehicle ◽  
Flight Control ◽  
Aerodynamic Force ◽  
Low Cost ◽  
Model Verification ◽  
Force Coefficient ◽  
Aerial Vehicle ◽  
Solar Powered ◽  
Actuator Module

This paper describes a low-cost flight control system of a small aileron-less hand-launched solar-powered unmanned aerial vehicle (UAV). In order to improve the accuracy of the whole system model and quantify the influence of each subsystem, detailed modeling of UAV energy and a control system including a solar model, engine, energy storage, sensors, state estimation, control law, and actuator module are established in accordance with the experiment and component principles. A whole system numerical simulation combined with the 6 degree-of-freedom (DOF) simulation model is constructed based on the typical mission route, and the parameter precision sequence and energy balance are obtained. Then, a hardware-in-the-loop (HIL) experiment scheme based on the Stewart platform (SP) is proposed, and three modes of acceleration, angular velocity, and attitude are designed to verify the control system through the inner and boundary states of the flight envelope. The whole system scheme is verified by flight tests at different altitudes, and the aerodynamic force coefficient and sensor error are corrected by flight data. With the increase of altitude, the cruise power increases from 47 W to 78 W, the trajectory tracking precision increases from 23 m to 44 m, the sensor measurement noise increases, and the bias decreases.

Design and Implementation of a Detection Device for Flight Control System in Unmanned Aerial Vehicle

2011 ◽  
Vol 121-126 ◽  
pp. 764-767 ◽  
Author(s):  
Hong Jun Zhang ◽  
Lu Wen Jun ◽  
Li Biao Tong
Keyword(s):  
Control System ◽  
Unmanned Aerial Vehicle ◽  
Flight Control ◽  
Low Cost ◽  
Flight Control System ◽  
Angle Sensor ◽  
Calibration Table ◽  
Aerial Vehicle ◽  
Overall Performance ◽  
Command Center

Flight control system (FCS) is the command center for the unmanned aerial vehicle (UAV). A low-cost, high-precision micro-UAV attitude calibration table is designed by utilizing the structure of the vertical gyroscope of the flight attitude angle sensor. The detection device for the UAV FCS developed by loop-in-simulation achieves unmanned attitude calibration and overall performance detection of the FCS.

scholarly journals Multi-User Drone Flight Training in Mixed Reality

Electronics ◽  
2021 ◽  
Vol 10 (20) ◽  
pp. 2521
Author(s):  
Yong-Guk Go ◽  
Ho-San Kang ◽  
Jong-Won Lee ◽  
Mun-Su Yu ◽  
Soo-Mi Choi
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Flight Control ◽  
Mixed Reality ◽  
Low Cost ◽  
Training System ◽  
Flight Training ◽  
First Person ◽  
Remote Training ◽  
Aerial Vehicle ◽  
Considerable Experience

The development of services and applications involving drones is promoting the growth of the unmanned-aerial-vehicle industry. Moreover, the supply of low-cost compact drones has greatly contributed to the popularization of drone flying. However, flying first-person-view (FPV) drones requires considerable experience because the remote pilot views a video transmitted from a camera mounted on the drone. In this paper, we propose a remote training system for FPV drone flying in mixed reality. Thereby, beginners who are inexperienced in FPV drone flight control can practice under the guidance of remote experts.

scholarly journals Crop Surveillance using Unmanned Aerial Vehicle for Precision Agriculture

2020 ◽  
Vol 9 (8) ◽  
pp. 931-935
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Flight Control ◽  
Precision Agriculture ◽  
Low Cost ◽  
Crop Damage ◽  
Growth And Yield ◽  
Crop Monitoring ◽  
Sensing Technology ◽  
Aerial Vehicle ◽  
Cost Utilization

Precision agriculture (PA) is a combination of latest technologies planned to increase the productivity and profitability by retaining the quality of the fertile land and surrounding environment. Crop monitoring in precision agriculture will be achieved by implementing innovative techniques; however the utilization of Wireless Sensor Network (WSNs) results in low power and low cost utilization arrangements thus turning into a predominant alternative. It is likewise outstanding that harvests are additionally influenced adversely by interlopers (human or animals) and by insufficient control of the production process. Crop surveillance through drone is one of the technical approaches to capture and distinguish the crop patterns, which helps in early detection of the crop damage, leads the farmers to take care for crop yield. Drone is also termed as Unmanned Aerial Vehicle (UAV). These vehicles are equipped with required electronic sensors, cameras and a flight control system to simulate the UAV, with small in size and flexible to handle and operate, These Aerial Vehicles can operate within indoor as well as at outdoor. The goal of the research is to contribute to the implementation and deployment of remote sensing technology with UAV. This paper enumerate on the applications of UAVs for crop scouting and analyzing the transmitted images using NDVI to predict the crop growth and yield

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
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