Browsing by Author "Zhmurchyk, Tatyana"

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    Digital stabilization system
    (National Aviation University, 2021-04-27) Ablesimov, Aleksandr; Аблесімов, Олександр Костянтинович; Zhmurchyk, Tatyana; Жмурчик, Тетяна Петрівна; Rud, Andrei; Рудь, Андрій Андрійович; Tsoba, Arthur; Цьоба, Артур Олександрович
    A model of a discrete system for stabilizing the ship's course has been developed and the results of research on the choice of an optimal digital controller for it are presented. The method of the describing function is used as a research method. In developing a mathematical model of a discrete system, a typical block diagram of a continuous stabilization system was used. The location of the quantizer and extrapolator in it was determined. The latter was selected as a zero-order extrapolator, as the simplest, easily implemented with standard equipment, although the use of a first-order extrapolator can give some advantage in the accuracy of information recovery. Modeling is carried out in state variables and in a classical way based on a discrete transfer function of stabilization system. For the research, the package of visual block simulation modeling of the MatLab matrix system was used. Modeling of the system of stabilization with different types of controllers allowed to carry out their comparative assessment. To improve the properties of the digital proportional integral derivative controller, it is proposed to introduce in it a correction system.
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    PID-controller synthesis software for the stabilization system of the inertial control object
    (National Aviation University, 2020-03-24) Ablesimov, Aleksandr; Аблесімов, Олександр Костянтинович; Pylypenko, Maria; Пилипенко, Марія Олександрівна; Zhmurchyk, Tatyana; Жмурчик, Тетяна Петрівна
    Reviewed software creation method for the selection an optimum regulator for the stabilization system of the inertial control object. PID-controller synthesis software implemented by Python and it`s libraries: SciPy, NumPy and Control Systems Library. Schematic decisions of regulators and correction devices for stabilization systems may be different: P, PI, PD, PID. The first three options can be generally obtained by applying restrictions on the PID-model. The exact adjustment of the PID-controller parameters significantly reduces system fluctuations. The full use of the PID-controller advantages is only provided with the correct calculation of these parameters, taking into account the unique characteristics of the controlled objects. At the same time, it is important to have a mechanism (program) for coefficients controlling that would provide a convenient interface between the program and the user.