Acquisition of Flight Data from Mini Unmanned Aerial Systems

Year 2024, , 221 - 228, 22.10.2024

Mehmet Konar , Didem Özdemir , Melih Erşen , Mustafa Fenerci

https://doi.org/10.30518/jav.1523967

Abstract

Swift progress in unmanned aerial vehicle (UAV) system technology mandates effective real-time monitoring and accurate flight data capture for building an optimum target-based cutting-edge UAVs. In the current epoch of modern-UAV era, small size and mission-oriented UAV prototypes are increasingly pervasive. This study highlights the design of a data acquisition target-based mini-UAV and introduces a novel telemetry software solution to safe and reliable communication between mini-UAV and ground control station (GCS). The primary aim is to demystify the proposed wireless communication software solution on mini-UAV capability in obtaining and managing comprehensive flight data. While creating the appropriate target-based mini-UAV prototype architecture, the features that we aim to realize for the UAV components are addressed with a system approach and the component selection is presented in detail. The integration point of the selected components is conveyed in general terms. Thus, a guiding resource for future UAV studies will be presented. Then, the processes of obtaining the flight data of mini-UAVs will be addressed. At this point, the design logic of the required commands and background software will be conveyed. Obtaining the flight data of mini-UAVs will provide important scientific contributions to the literature in terms of aviation research and safety analysis. Obtaining the flight data of mini-UAVs will meet the data set needs for flight safety improvements and air traffic management optimization studies. A general analysis of the flight parameters obtained as a result of obtaining the flight data will be performed, the predictability of the parameters will be evaluated, and the analysis of the flight phases will be performed by presenting the relationships of the parameters according to the flight scenarios and the sections taken from the parameter set in the study. This study can be considered as a concrete example of situational monitoring of UAVs.

Keywords

Flight Data Acquisition, SUAV, Telemetry, Data Processing, Flight Data Analysis, Mini Unmanned Aerial Vehicles, MAVLink

Project Number

FYL-2023-12576

References

• Abershitz, A., Penn, D., Levy, A., Shapira, A., Shavit, Z., and Tsach, S. (2005). IAI's Micro/Mini UAV Systems- development Approach. In Infotech@ Aerospace, 1-10.
• Alvarez, P. M., Torres, R. E. G., and Cisneros, S. O. (2024). Exception Handling: Fundamentals and Programming. Springer.
• Bagis, A., and Konar, M. (2018). ABC and DE algorithms based fuzzy modeling of flight data for speed and fuel computation. International Journal of Computational Intelligence Systems, 11(1), 790-802.
• Benito, J. A., Glez-de-Rivera, G., Garrido, J., and Ponticelli, R. (2014, November). Design Considerations of A Small UAV Platform Carrying Medium Payloads. In Design of Circuits and Integrated Systems 1-6.
• Brusov, V., Grzybowski, J., and Petruchik, V. (2011, September). Flight Data Acquisition System for Small Unmanned Aerial Vehicles. In International Micro Air Vehicle conference and competitions 2011 (IMAV 2011),'t Harde, The Netherlands, September 12-15, 2011. Delft University of Technology and Thales.
• Butler, J. T. (2001). UAVs and ISR sensor technology. Air Command and Staff Coll Maxwell Afb AL.
• Chalkiadaki, A., Mourgelas, C., Psilias, D., Milidonis, A., and Voyiatzis, I. 2021, November. A Survey for UAV Open- source Telemetry Protocols. In Proceedings of the 25th Pan-Hellenic Conference on Informatics 346-351.
• Chaput, A. J. (2018). Small UAV Motor and Propeller Methods-a Parametric System Engineering Model-based Approach. In 2018 AIAA Aerospace Sciences Meeting, 1-11.
• Dantsker, O. D., and Mancuso, R. (2019). Flight data Acquisition Platform Development, Integration, and Operation on Small-to Medium-sized Unmanned Aircraft. In AIAA Scitech 2019 Forum, 1-31.
• Dantsker, O. D., Mancuso, R., Selig, M. S., and Caccamo, M. (2014). High-frequency Sensor Data Acquisition System (SDAC) for Flight Control and Aerodynamic Data Collection. In 32nd AIAA Applied Aerodynamics Conference,1-17.
• Erşen M. and Konar M. (2021), Insansiz Hava Araçlarinin Uçuş Süresinin Tahmininde Prognostik Yöntemlerin
• Kullaniminin Incelenmesi, 5th International Zeugma Conference on Scientific Researches, Gaziantep, Turkey, 161-168.
• Erşen, M., and Konar, M. (2023). Obtaining Condition Monitoring Data for the Prognostics of the Flight Time of Unmanned Aerial Vehicles. Journal of Aviation, 7(2), 209-214.
• Hao, C., Chen, Y., Mai, Z., Chen, G., and Yang, M. (2022). Joint Optimization on Trajectory, Transmission and Time for Effective Data Acquisition in UAV-enabled IoT. IEEE Transactions on Vehicular Technology, 71(7), 7371- 7384.
• Ho, D. T., Grøtli, E. I., Sujit, P. B., Johansen, T. A., and Sousa, J. B. (2015). Optimization of Wireless Sensor Network and UAV Data Acquisition. Journal of Intelligent & Robotic Systems, 78, 159-179.
• Jia, Z., Qin, X., Wang, Z., and Liu, B. (2019, May). Age-based Path Planning and Data Acquisition in UAV-assisted IoT Networks. In 2019 IEEE international conference on communications workshops (ICC Workshops), 1-6. IEEE.
• Johnson, T., Muthukrishnan, S., Shkapenyuk, V., and Spatscheck, O. (2005, August). A Heartbeat Mechanism and Its Application in Gigascope. In Proceedings of the 31st international conference on Very large data bases ,1079-1088.
• Khan, S. U., Li, C. Y., Siddiqui, N. A., and Kim, J. K. (2011). Vibration Damping Characteristics of Carbon Fiber- reinforced Composites Containing Multi-walled Carbon Nanotubes. Composites science and technology, 71(12), 1486-1494.
• Konar, M. (2019). Redesign of Morphing UAV's Winglet Using DS Algorithm Based ANFIS Model. Aircraft Engineering and Aerospace Technology, 91(9), 1214-1222.
• Konar, M. (2020). Simultaneous Determination of Maximum Acceleration and Endurance of Morphing UAV with ABC algorithm-based model. Aircraft Engineering and Aerospace Technology, 92(4), 579-586.
• Konar, M., (2018). Effect of Battery Selection on Endurance of UAV. 4th International Conference on Engineering and Natural Sciences (ICENS 2018) ,91-96, Kiew, Ukraine
• Luo, F., Jiang, C., Yu, S., Wang, J., Li, Y., and Ren, Y. (2017). Stability of Cloud-based UAV Systems Supporting Big Data Acquisition and Processing. IEEE Transactions on Cloud Computing, 7(3), 866-877.
• Mueller, T. J. (2009). On the Birth of Micro Air Vehicles. International Journal of Micro Air Vehicles, 1(1), 1-12.
• Papa, U., and Del Core, G. (2014). Design and Assembling of A Low-cost Mini UAV Quadcopter System. Technical Paper.
• Peeters, A. (2005, May). Implementation of Handshake components. In Communicating Sequential Processes. The First 25 Years: Symposium on the Occasion of 25 Years of CSP, London, UK, July 7-8, 2004. Revised Invited Papers 98-132. Berlin, Heidelberg: Springer Berlin Heidelberg.
• Popescu, D., Stoican, F., Ichim, L., Stamatescu, G., and Dragana, C. (2019, September). Collaborative UAV-WSN System for Data Acquisition and Processing in Agriculture. In 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) (Vol. 1, 519-524. IEEE.
• Rodgers, J. (1959). The Meaning of Correlation. American Journal of Science, 257(10), 684-691.
• Rutkay, B., and Laliberté, J. (2016). Design and Manufacture of Propellers for Small Unmanned Aerial Vehicles. Journal of Unmanned Vehicle Systems, 4(4), 228-245.
• Say, S., Inata, H., Ernawan, M. E., Pan, Z., Liu, J., and Shimamoto, S. (2017, January). Partnership and Data Forwarding Model for Data Acquisition in UAV-aided Sensor Networks. In 2017 14th IEEE Annual Consumer Communications & Networking Conference (CCNC) 933-938.
• Schwarzbach, M., Putze, U., Kirchgaessner, U., and v. Schoenermark, M. (2009, January). Acquisition of High- Quality Remote Sensing Data Using A UAV Controlled by an Open Source Autopilot. In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference Vol. 49002, 595-601.
• Schwing, R. P. (2007). Unmanned Aerial Vehicles: Revolutionary Tools in War and Peace, 1-3. US Army War College.
• Singh, M., and Garg, D. (2009, March). Choosing Best Hashing Strategies and Hash Functions. In 2009 IEEE International Advance Computing Conference ,50-55.
• Taha, Z., Tang, Y. R., and Yap, K. C. (2011). Development of An Onboard System for Flight Data Collection of A Small-scale UAV Helicopter. Mechatronics, 21(1), 132-144.
• Tahar, K. N. (2012). A New Approach on Slope Data Acquisition Using Unmanned Aerial Vehicle. IJRRAS, (3), 13, 780-785.
• Tsouros, D. C., Triantafyllou, A., Bibi, S., and Sarigannidis, P. G. (2019, May). Data Acquisition and Analysis Methods in UAV-based Applications for Precision Agriculture. In 2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS) 377-384. IEEE.
• van Niekerk, D. R. (2009). Brushless Direct Current Motor Efficiency Characterization for UAV Applications (Doctoral dissertation, Masters Dissertation, October 2009, unpublished).
• Wyatt, E. (2013). The DARPA/air Force Unmanned Combat Air Vehicle (UCAV) Program. In AIAA International Air and Space Symposium and Exposition: The Next 100 Years, 1-8.
• Yang, Q., and Yoo, S. J. (2018). Optimal UAV Path Planning: Sensing Data Acquisition Over IoT Sensor Networks Using Multi-objective Bio-inspired Algorithms. IEEE access, 6, 13671-13684.
• Zeng, D., Wang, F. Y., and Liu, M. 2004. Efficient Web Content Delivery Using Proxy Caching Techniques. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 34(3), 270-280.