Перегляд за Автор "Putiatin, R. O."

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    Method for PID-tuning via feedback control system pole placement
    (КПІ ім. Ігоря Сікорського, 2022) Zhuchenko, A. I.; Putiatin, R. O.
    Pole placement is the only PID-tuning technic that allows one to obtain a control system with desired, and, moreover, highly predictable performance and control quality. Number of controller tuning parameters is equal to number of poles closed-loop poles it can precicely place, so that PID-controller can place exactly three poles, and PI- can place only two. For this reason PI-controller is best used with first-order processes (second-order closed loop system), and PID-controller with second-orded ones (third-order closed loop system). However, many processes have higher order than two, and still are controlled with PID-controllers. To tune it using pole placement techniques, it is necessary to consider only dominant poles, which affect performance of the system to the greatest extent. First, it is necessary to study a PI-controller with a second-order process, which is the most basic case. Tuning is performed using global optimization methods to fit dominant poles of a tuned system to dominant poles of a reference system.
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    Modelling of high performance electrocoalescer based on experimental data
    (КПІ ім. Ігоря Сікорського, 2023) Putiatin, R. O.; Tsapar, V. S.
    Modern approaches to automatic control of crude oil dewatering and desalting are predominantly model-free, and described model-based systems lack precise mathematical description. Not a single research provides a dynamic input-output model for electric dehydrator, suitable for control system development. As far as electric dehydrator, which is the main plant to control in the process, is a non-linear system with distributed parameters, a need for linearization arises. The aim of present study is to compare different methods for obtaining approximate transfer function of an electric dehydrator from graphical experimental data.