Публікації Scopus кафедри автоматизації та енергоменеджменту
Permanent URI for this collectionhttp://er.nau.edu.ua/handle/NAU/29399
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Item Synthesis of an Intelligent UAV Control System Based on Fuzzy Logic in External Disturbance Conditions(Journal of Automation, Mobile Robotics and Intelligent Systems, 2020-12) Shevchuk, D; Prokhorenko, I; Tymoshenko, N; Korobiichuk, ITo 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.Item Intelligent Control System Against Aircraft’s Structural Damage in the Flight(IEEE 4th International Conference «Methods and Systems of Navigation and Motion Control» Conference Proceedings, 18-20 October 2016, Kyiv, Ukraine. – Р. 241-244., 2016) Shevchuk, D; Tymoshenko, NIn this paper, intelligent flight control system for recovering controllability of the aircraft when an unexpected problem (such as faults or failures to the actuators/sensors or structural damage) occurs during a flight is proposed.Item Method of State Estimation and Identification of the Arial Vehicle under Destabilizing Action of Weather Conditions(IEEE 4th International Conference «Methods and Systems of Navigation and Motion Control» Conference Proceedings, 18-20 October 2016, Kyiv, Ukraine. – Р. 241-244., 2016) Tymoshenko, N; Shevchuk, D; Prochorenko, IHere we explain method and models for hover mode of aerial vehicle (helicopter) as well as measurements of parameters of this flight mode that requires smaller volume of calculation and preserves high speed and accuracy of stabilization. Also we investigate reduction of number of state vectors and volume of calculation via usage of extended Kalman filter and standard sensors.