RESEARCH PAPER
Practical Aspects of Design and Testing Unmanned Aerial Vehicles
1
Faculty of Electrical Engineering, Automatic Control and Informatics Department of Electrical Engineering and Mechatronics, Opole University of Technology, ul. Prószkowska 76, 45-758 , Opole, Poland
Submission date: 2019-08-01
Acceptance date: 2020-04-28
Online publication date: 2020-04-30
Publication date: 2020-03-01
Acta Mechanica et Automatica 2020;14(1):50-58
KEYWORDS
ABSTRACT
A design of an unmanned aerial vehicle (UAV) construction, intended for autonomous flights in a group, was presented in this article. The design assumptions, practical implementation and results of the experiments were given. Some of the frame parts were made using 3D printing technology. It not only reduces the costs but also allows for better fitting of the covers to the electronics, which additionally protects them against shocks and dirt. The most difficult task was to develop the proper navigation system. Owing to high costs of precision positioning systems, common global positioning system (GPS) receivers were used. Their disadvantage is the floating position error. The original software was also described. It controls the device, allows performing autonomous flight along a pre-determined route, analyses all parameters of the drone and sends them in a real time to the operator. The tests of the system were carried out and presented in the article, as well.
REFERENCES (35)
1.
Aghaeeyan A,, Abdollahi F., Talebi H.A., (2015), UAV–UGVs cooperation: With a moving center based trajectory, Robotics and Autonomous Systems, 63, Part 1,1-9.
2.
Bonali F.L., Tibaldi A., Marchese F., Fallati L., Russo E., Corselli C., Savini A., (2019), UAV-based surveying in volcano-tectonics: An example from the Iceland rift, Journal of Structural Geology, 121, 46-64.
3.
Cai G., Feng L., Chen B., Lee T.H., (2008), Systematic design methodology and construction of UAV helicopters, Mechatronics 18, 545–558.
4.
Cechowicz R., (2017), Bias drift estimation for mems gyroscope used in inertial navigation, Acta Mechanica et Automatica, 11(2), 104-110.
5.
Cetinsoy E., Dikyar S., Hancer C., Oner K.T., Sirimoglu E., Unel M., Aksit M.F., (2012), Design and construction of a novel quad tilt-wing UAV, Mechatronics 22, 723–745.
6.
Cho A., Kang Y.S., Park B., Yoo Ch.S., Koo S.O., (2011), Altitude Integration of Radar Altimeter and GPS/INS for Automatic Takeoff and Landing of a UAV, 2011 11th International Conference on Control, Automation and Systems, Gyeonggi-do, Korea, 1429-1432.
7.
Choudhary G., Sharma V., You I., (2019), Sustainable and secure trajectories for the military Internet of Drones (IoD) through an efficient Medium Access Control (MAC) protocol, Computers & Electrical Engineering, 74, 59-73.
8.
Deng H., Arif U., Fu Q., Xi Z., Quan Q., Cai K., (2018), Visual–inertial estimation of velocity for multicopters based on vision motion constraint, Robotics and Autonomous Systems, 107, 262-279.
9.
Ebeid E., Skriver M., Husum K., Jensen K., Pagh U., (2018), A Survey of Open-Source UAV Flight Controllers and Flight Simulators, Microprocessors and Microsystems, 61, 11-20.
10.
Ferrarese G., (2017), Bandwidth Assessment for MultiRotor UAVs, Acta Mechanica et Automatica, 11(2), 150-153.
11.
Fujimori A., Ukigai Y., Santoki A., Oh-hara S., (2018), Autonomous flight control system of quadrotor and its application to formation control with mobile robot. IFAC-PapersOnLine, 51(22), 343-347.
12.
Gómez A., Rodríguez A., Sanchez C., Luis G., Hernández C., Cuerno R., (2019), Remotely Piloted Aircraft Systems conceptual design methodology based on factor analysis, Aerospace Science and Technology, 90, 368-387.
17.
Huang L., Song J., Zhang Ch., Cai G., (2018), Design and performance analysis of landmark-based INS/Vision Navigation System for UAV, Optik, 172, 484-493.
18.
Khamseh H.B., Janabi-Sharifi F., Abdessameud A., (2018), Aerial manipulation—A literature survey, Robotics and Autonomous Systems, 107, 221-235.
19.
Kopichev M., Ignatiev K., Putov A., (2013), Autonomous Control and Stabilization System for Unmanned Aerial Vehicles, IFAC Proceedings Volumes, 46(30), 240-243.
20.
Kownacki C., (2016), Multi-UAV Flight on the Basis of Virtual Structure Combined with Behavioral Approach, Acta Mechanica et Auto-matica, 10(2), 92-99.
21.
Luo Q., Yang X., Zhou Y., (2019). Nature-inspired approach: An enhanced moth swarm algorithm for global optimization, Mathematics and Computers in Simulation, 159, 57-92.
22.
María de Miguel Molina, Virginia Santamarina Campos, M. Ángeles Carabal Montagud, Blanca de Miguel Molina, (2018), Ethics for civil indoor drones: A qualitative analysis, International Journal of Micro Air Vehicles, 10(4), 340–351.
23.
Nallapaneni Manoj Kumara, Sudhakar K., Samykano M., Jayaseelan V., (2018), On the technologies empowering drones for intelligent monitoring of solar photovoltaic power plants, International Conference on Robotics and Smart Manufacturing (RoSMa2018), Procedia Computer Science, 133, 585–593.
24.
Olivas F., Valdez F., Castillo O., González C.I., Martinez G.E., Melin P., (2017), Ant colony optimization with dynamic parameter adaptation based on interval type-2 fuzzy logic systems, Appl. Soft Comput, 74-87.
25.
Puchała K., Szymczyk E., Jachimowicz J., (2015), FEM design of composite – metal joint for bearing failure analysis, Przegląd Mechaniczny, 33 – 41.
26.
Pulvera A., Weib R., (2018), Optimizing the spatial location of medical drones, Applied Geography, 90, 9–16.
27.
Roseneia Rodrigues Santos de Melo, Dayana B.C., Juliana Sampaio Álvares, Irizarry J., (2017), Applicability of unmanned aerial system (UAS) for safety inspection on construction sites, Safety Science, 98, 174-185.
28.
Socha K., Dorigo M., (2008), Ant colony optimization for continuous domains, European Journal of Operational Research, 1155-1173.
29.
Souza D., Pinto V., Nascimento L., Torres J., Gomes J., Sa-Junior J., Sa-Junior J., Almeida R., (2016), Battery Discharge forecast applied in Unmanned Aerial Vehicle, Przegląd Elektrotechniczny 02/2016, 185-192.
30.
Stančić R. Graovac S., (2010), The integration of strap-down INS and GPS based on adaptive error damping, Robotics and Autonomous Systems, 58(10), 1117-1129.
31.
Sun J., Li B., Wen Ch.Y., Chen Ch.K., (2018), Design and implementation of a real-time hardware-in-the-loop testing platform for a dual-rotor tail-sitter unmanned aerial vehicle, Mechatronics 56, 1–15.
32.
Szywalski P., (2017), Design of the autonomous flight algorithm for Unmanned Aerial System, Opole, 4-61.
33.
Szywalski P., Waindok A., (2018), Analysis of the quadrocopter class 130 frame deformation made with using 3D printing technology, Przegląd Mechaniczny, 39-44.
34.
Szywalski P., Wajnert D., (2018), Possibility Analysis of the Location Measurement by Using the GPS Receiver and Barometric Altimeter, Pomiary Automatyka Robotyka, 33-39.
35.
Zhu W., Dong Y., Wang G., Qiao Z., Gao Z., (2013), High-precision Barometric Altitude Measurement Method and Technology, 2013 IEEE International Conference on Information and Automation (ICIA), 430-435.
| eISSN: | 2300-5319 |
| ISSN: | 1898-4088 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
