Abstract
A questions of dynamics characteristics researches and electrohydraulic drives automatic control are considered. The purpose of the work is the electrohydraulic drives’ primary dynamic characteristics analysis of technological and productive equipment, and also, the synthesis of automatic control system by drives that takes into account observation noise as well as stochastic perturbation. For these drives, typical mathematical model of dynamic characteristics has been developed, taking into account the specifics of technological equipment of machine-building industries. This typical model makes it possible to identify electrohydraulic drives as an object of automatic control. The system for automatic control of electrohydraulic drives with throttle control has been developed and presented that takes into account observation noise as well as stochastic perturbation. The Kalman-Bucy filter synthesis was carried out in the MATLAB application package environment. When synthesizing the optimal linear controller, the dynamic programming method was used. Study of the quality of regulation of the proposed automatic control system was carried out. For this, analysis of transient processes occurring in the automatic drive control system was performed. Assessment of the influence of the main parameters on the indicators of the regulation quality was carried out, on the basis of which recommendations were formulated for choosing rational values of the transfer coefficients. The results of the work can be used to improve the technical and operational characteristics of automatic electrohydraulic drives of machine-building industries equipment, as well as to expand the functional characteristics of the technological and productive equipment, and the safety level in production.
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Romanchenko, O., Sokolov, V., Krol, O., Baturin, Y., Stepanova, O. (2023). Automatic Control of Electrohydraulic Drive for Technological Equipment. In: Cioboată, D.D. (eds) International Conference on Reliable Systems Engineering (ICoRSE) - 2022. ICoRSE 2022. Lecture Notes in Networks and Systems, vol 534. Springer, Cham. https://doi.org/10.1007/978-3-031-15944-2_30
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