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Synthesis of an intelligent UAV control system based on fuzzy logic in external disturbance conditions

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
To ensure reliable execution of flight tasks in the presence of both external perturbations and internal parametric perturbations, deterioration of the characteristics of the sensors, a control system structure based on intelligent technologies is proposed. The process of forming a “knowledge base” of a fuzzy controller is considered. The results of mathematical modeling of the longitudinal UAV control channel with a PID-controller and a fuzzy controller in the control loop are presented.
Twórcy
  • ŁUKASIEWICZ Research Network – Industrial Research Institute for Automation and Measurements PIAP, Jerozolimskie 202, 02-486 Warsaw, Poland
  • National Aviation University, Lyubomyr Huzar Avenue, 1, 03058, Kyiv, Ukraine
  • National Aviation University, Lyubomyr Huzar Avenue, 1, 03058, Kyiv, Ukraine
  • National Aviation University, Lyubomyr Huzar Avenue, 1, 03058, Kyiv, Ukraine
  • Ukrainian State University of Food Technologies, 68 Volodymyrska Street, 01033, Kyiv, Ukraine
autor
  • Ukrainian State University of Food Technologies, 68 Volodymyrska Street, 01033, Kyiv, Ukraine
Bibliografia
  • [1] R. Austin, Unmanned Aircraft Systems: UAV Design, Development and Deployment, WileyBlackwell, 2010.
  • [2] J. Bishop, “The Role of Affective Computing for Improving Situation Awareness in Unmanned Aerial Vehicle Operations: A US Perspective”. In: J. Vallverdú (eds.), Handbook of Research on Synthesizing Human Emotion in Intelligent Systems and Robotics, 2015, 10.4018/978-1-4666-7278-9.ch020.
  • [3] “Cir 328 AN/190 Unmanned Aircraft Systems (UAS)”. International Civil Aviation Organization, https://www.icao.int/Meetings/UAS/Documents/Circular%20328_en.pdf. Accessed on: 2020-12-10.
  • [4] I. Korobiichuk, Y. Danik, O. Samchyshyn, S. Dupelich and M. Kachniarz, “The estimation algorithm of operative capabilities of complex countermeasures to resist UAVs”, SIMULATION, vol. 95, no. 6, 2019, 569–573,10.1177/0037549718791264.
  • [5] I. Korobiichuk, M. Nowicki, Y. G. Danik, S. Dupelich and S. Oleksyj, “The Selection Methods for Multisensor System Elements of Drone Detection”. In: R. Szewczyk and M. Kaliczyńska (eds.), Recent Advances in Systems, Control and Information Technology, 2017, 20–26,10.1007/978-3-319-48923-0_3.
  • [6] H. Choi, M. Geeves, B. Alsalam and F. Gonzalez, “Open source computer-vision based guidancesystem for UAVs on-board decision making”. In: 2016 IEEE Aerospace Conference, 2016, 10.1109/AERO.2016.7500600.
  • [7] M. Chen, Q. Hu, C. Mackin, J. F. Fisac and C. J. Tomlin, “Safe platooning of unmanned aerial vehicles via reachability”. In: 2015 54th IEEE Conference on Decision and Control (CDC), 2015, 4695–4701, 10.1109/CDC.2015.7402951.
  • [8] N. Rupasinghe, A. S. Ibrahim and I. Guvenc, “Optimum Hovering Locations with Angular Domain User Separation for Cooperative UAV Networks”. In: 2016 IEEE Global Communications Conference (GLOBECOM), 2016, 10.1109/GLOCOM.2016.7842113.
  • [9] M. Naphade, G. Banavar, C. Harrison, J. Paraszczak and R. Morris, “Smarter Cities and Their Innovation Challenges”, Computer, vol. 44, no. 6,2011, 32–39, 10.1109/MC.2011.187.
  • [10] T. J. Zajkowski, “Unmanned aerial vehicles:Remote sensing technology for the USDA Forest Service”, Project Report RSAC-1507-RPT1,Remote Sens. Application Center, Salt Lake City, Utah, 2003.
  • [11] C. Brodbeck, E. Sikora, D. Delaney, G. Pate and J. Johnson, “Using Unmanned Aircraft Systems or Early Detection of Soybean Diseases”, Advances in Animal Biosciences, vol. 8, no. 2, 2017, 802–806, 10.1017/S2040470017001315.
  • [12] U. E. Franke, “Civilian Drones: Fixing an Image Problem?”, https://isnblog.ethz.ch/security/civilian-drones-fixing-an-image-problem. Accessed on: 2020-12-10.
  • [13] M. Erdelj and E. Natalizio, “UAV-assisted disaster management: Applications and open issues”. In: 2016 International Conference on omputing, Networking and Communications (ICNC), 2016, 10.1109/ICCNC.2016.7440563.
  • [14] A. C. Watts, V. G. Ambrosia and E. A. Hinkley, “Unmanned Aircraft Systems in Remote Sensing and Scientific Research: Classification and onsiderations of Use”, Remote Sensing, vol. 4, no. 6, 2012, 1671–1692,10.3390/rs4061671.
  • [15] S. G. Gupta, M. M. Ghonge and P. M. Jawandhiya, “Review of Unmanned Aircraft System (UAS)”, nternational Journal of Advanced Research in Computer Engineering & Technology (IJARCET), vol. 2, no. 4, 2013, 1646–1658.
  • [16] M. Hassanalian and A. Abdelkefi, “Classifications, applications, and design challenges of rones: A review”, Progress in Aerospace Sciences, vol. 91, 2017, 99–131, 10.1016/j.paerosci.2017.04.003.
  • [17] I. Korobiichuk, V. Karachun and V. Melnick,“Stochastic Structure of Inciting Factors of Trivial Gyrostabilized Platform”. In: R. Szewczyk, J. Krejsa, M. Nowicki and A. Ostaszewska Liżewska (eds.), Mechatronics 2019: Recent Advances Towards Industry 4.0, 2020, 36–44, 10.1007/978-3-030-29993-4_5.
  • [18] I. Korobiichuk, “Experimental Investigations of a Precision Sensor for an Automatic Weapons Stabilizer System”, Sensors, vol. 17, no. 1, 2017, 10.3390/s17010023.
  • [19] T. A. Johansen, “Stability, robustness, and performance of fuzzy model based control”. In: Proceedings of 35th IEEE Conference on Decision and Control, 1996, 604–609, 10.1109/CDC.1996.574390.
  • [20] K. M. Passino and S. Yurkovich, Fuzzy Control, Addison-Wesley, 1997.
  • [21] V. Tregub, I. Korobiichuk, O. Klymenko, A. Byrchenko and K. Rzeplińska-Rykała, “Neural Network Control Systems for Objects of Periodic Action with Non-linear Time Programs”. In: R. Szewczyk, C. Zieliński and M. Kaliczyńska (eds.), Automation 2019, 2020, 155–164, 10.1007/978-3-030-13273-6_16.
  • [22] I. Korobiichuk, V. Tregub, O. Klymenko, I. Elperin, V. Sidletskyi, Y. Smityuh and M. Chornovan, “Development of Logical Control System for the Purification Department at Molasses Production”. In: R. Szewczyk, J. Krejsa, M. Nowicki and A. Ostaszewska-Liżewska (eds.), Mechatronics 2019: Recent Advances Towards Industry 4.0, 2020, 206–213, 10.1007/978-3-030-29993-4_26.
  • [23] “Наукові розробки (in Ukrainian)”. National Aviation University, https://nau.edu.ua/ua/menu/science/naukovi-rozrobki/. Accessed on: 2020-12-10.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b93717b7-0d70-41ba-901a-1b1166d54792
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