Кафедра авіаційних комп'ютерно-інтегрованих комплексів (НОВА)

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Відповідальний за розділ: Провідний фахівець кафедри авіаційних комп'ютерно-інтегрованих комплексів інституту інформаційно-діагностичних систем Шугалєй Людмила Петрівна. E-mail: shugaley2005@ukr.net

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Browsing Кафедра авіаційних комп'ютерно-інтегрованих комплексів (НОВА) by Author "Ablesimov, A. K."

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    Adaptive Stabilization Systems of Dynamic Objects
    (National Aviation University, 2022-12-27) Ablesimov, A. K.; Аблесімов, Олександр Костянтинович; Konovalyuk, I. A.; Коновалюк, Ілля Олександрович; Zavhorodnii, R. V.; Завгοрοдній, Ρуслан Βοлοдимирοвич
    There are a large number of dynamic objects, for the management of which it is advisable to apply the principles of adaptation. The reasons for applying the principles of adaptation can be combined into two main groups: the variability and complexity of the characteristics of objects and the environment; growing requirements for accuracy and technical and economic characteristics of systems. The difference between adaptive systems and optimal ones is that while in optimal systems the quality indicator is provided for certain parameters of the object, in adaptive systems - for various parameters due to the action of additional elements of adaptation. The choice of one or another approach is determined by preliminary information about the object (process) or the accepted quality criterion. The article presents the main approaches to the selection of possible variants of adaptive systems with stabilization and optimization of the quality of control of systems for stabilizing dynamic objects, based on the type of extremal characteristic of the criterion for assessing their quality.
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    PROVISION THE REQUIRED ACCURACY OF THE SENSORS OF ANGULAR VELOCITIES THAT WORK IN STRUCTURE OF AUTOMATIC CONTROL SYSTEMS
    («Освіта України», 2017-03) Ablesimov, A. K.; Adamchuk, K. A.; Ryabokonev, А. М.
    Considered the method of providing the required accuracy of the angular velocities sensors, based on choosing their parameters, considering the frequency characteristics of the control object
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    STATISTICAL METHODS OF ESTIMATING THE RESPONSE OF AUTOMATIC SYSTEM ON CONTROL COMMANDS
    (Київ «Освіта України», 2018-06) Ablesimov, A. K.; Pohribniak, L. V.
    It was established the impossibility to estimate the reaction of automatic control systems on typical signals and also to disallowed only take into account the quality rates. The results of theoretical and experimental research showed, that control signals are random. For the purpose of estimating influences of these signals, it is necessary to use statistical methods to evaluate the response of the automatic control system on operator commands. It is considered the method of estimating the accuracy of automatic control systems that operates in modes of stable guidance at random disturbing influences and control signals.
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    THE OPTIMUM REGULATOR FOR THE NONLINEAR STABILIZATION SYSTEM OF THE INERTIAL CONTROL OBJECT
    (Київ «Освіта України», 2018-03) Ablesimov, A. K.; Pylypenko, M. A.
    Designed the model of the nonlinear stabilization system of the ship course and showed experimental and theoretical research results of the selection an optimal regulator for the system, which excludes, at the same time, appearance of limit cycles in it. As research method, the method of describing function was used. Simulation of the nonlinear stabilization system of the ship course with different types of regulators allowed to perform a comparative assessment of industrial regulators. To improve the properties of the PID-regulator, it is proposed to a nonlinear correction system.
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    The Regulator Synthesis Software for the Nonlinear Stabilization System
    (Київ «Освіта України», 2019-03) Ablesimov, A. K.; Pylypenko, M. A.; Zhmurchyk, Т. P.
    Reviewed software creation method for the selection an optimum regulator for the nonlinear stabilization system of the inertial control object. 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-regulator parameters significantly reduces system fluctuations. The full use of the PID-regulator 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 for coefficients controlling that would provide a convenient interface between the program and the user.