Intelligent IoT-based Control System of the UAV for Meteorological Measurements

Authors

  • Oleksiy Kozlov Intelligent Information Systems Department, Petro Mohyla Black Sea National University, Mykolaiv, Ukraine
  • Yuriy Kondratenko 1) Intelligent Information Systems Department, Petro Mohyla Black Sea National University, Mykolaiv, Ukraine 2) Institute of Artificial Intelligence Problems of MES and NAS of Ukraine, Kyiv, Ukraine
  • Oleksandr Skakodub Intelligent Information Systems Department, Petro Mohyla Black Sea National University, Mykolaiv, Ukraine

DOI:

https://doi.org/10.13052/jmm1550-4646.2032

Keywords:

UAV control system, meteorological measurements, climb speed control, intelligent control, fuzzy controller, Internet of Things, mobile technologies

Abstract

This study focuses on the creation and examination of an intelligent automated control system for UAVs utilized in meteorological measurements based on the Internet of Things (IoT) and mobile technologies. The proposed system enables the achievement of commendable flight control standards for UAVs during meteorological data gathering, thereby markedly enhancing the overall effectiveness of meteorological stations. Notably, this system is constructed on the foundation of three integrated principles: (a) a hierarchical two-level approach for control and data collection based on IoT and mobile technologies, (b) a straightforward and dependable fuzzy logic control characterized by high performance, and (c) the effective optimization of fuzzy control components through the application of bio-inspired multi-agent computing techniques. To assess the performance of the suggested intelligent system, this study involves the creation and bioinspired optimization of the climb speed fuzzy controller. Subsequent simulation experiments are conducted to evaluate the automatic control of UAV’s flight processes under different modes. The analysis of the simulation results indicates that the developed system, utilizing fuzzy control, exhibits superior efficiency and higher quality metrics when compared to existing counterparts, especially in diverse flight scenarios such as uniform climbing, gradual approach to designated altitude levels, and smooth landing during meteorological measurements.

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Author Biographies

Oleksiy Kozlov, Intelligent Information Systems Department, Petro Mohyla Black Sea National University, Mykolaiv, Ukraine

Oleksiy Kozlov is a Doctor of Science, Professor of the Department of Intelligent Information Systems at Petro Mohyla Black Sea National University (PMBSNU), Ukraine. He has received a master degree in electromechanics (2011) from Admiral Makarov National University of Shipbuilding, a Ph.D. degree (2014) and a Dr.Sc. degree (2022) in control processes automation from Odessa National Polytechnic University. In 2021 he became a laureate of the Award of the Parliament of Ukraine for Young Scientists. Since 2011 took part in the implementation of a number of international and state projects related to the automation of complex industrial plants, information technologies, intelligent control systems, robotics, and the Internet of things. His research interests include automation, intelligent information and control systems, fuzzy logic, bioinspired optimization techniques, and robotics.

Yuriy Kondratenko, 1) Intelligent Information Systems Department, Petro Mohyla Black Sea National University, Mykolaiv, Ukraine 2) Institute of Artificial Intelligence Problems of MES and NAS of Ukraine, Kyiv, Ukraine

Yuriy Kondratenko is a Doctor of Science, Professor, Honour Inventor of Ukraine (2008), Corr. Academician of Royal Academy of Doctors (Barcelona, Spain), Head of the Department of Intelligent Information Systems at Petro Mohyla Black Sea National University (PMBSNU), Ukraine, Leading Researcher of the Institute of Artificial Intelligence Problems of MES and NAS of Ukraine. He has received (a) a Ph.D. (1983) and Dr.Sc. (1994) in Elements and Devices of Computer and Control Systems from Odessa National Polytechnic University, (b) several international grants and scholarships for conducting research at Institute of Automation of Chongqing University, P.R. China (1988–1989), Ruhr-University Bochum, Germany (2000, 2010), Nazareth College and Cleveland State University, USA (2003), (c) Fulbright Scholarship for researching in USA (2015/2016) at the Dept. of Electrical Engineering and Computer Science in Cleveland State University. Research interests include robotics, automation, sensors and control systems, intelligent decision support systems, and fuzzy logic.

Oleksandr Skakodub, Intelligent Information Systems Department, Petro Mohyla Black Sea National University, Mykolaiv, Ukraine

Oleksandr Skakodub is a lecturer in the Department of Intelligent Information Systems at Petro Mohyla Black Sea National University (PMBSNU), Ukraine. He has received a master degree in Computerized control systems from the Admiral Makarov National University of Shipbuilding in 2019. Since 2019 took part in the implementation of the state project related to the mobile robot’s remote control system development. His main research interests include computer control systems, sensor systems, fuzzy logic, intelligent robotic devices, and measurement systems.

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Published

2024-05-06

How to Cite

Kozlov, O., Kondratenko, Y., & Skakodub, O. (2024). Intelligent IoT-based Control System of the UAV for Meteorological Measurements. Journal of Mobile Multimedia, 20(03), 555–596. https://doi.org/10.13052/jmm1550-4646.2032

Issue

2024: Vol 20 Iss 3

Section

Control and Decision-making Systems with Mobile Applications

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