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Synthesis of a fuzzy controller for identification and quantification of disturbances by trends
Author(s) -
E. A. Muravyova,
Radmir Imaev
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2094/4/042084
Subject(s) - control theory (sociology) , fuzzy logic , control engineering , computer science , heat exchanger , fuzzy control system , controller (irrigation) , engineering , control (management) , artificial intelligence , mechanical engineering , agronomy , biology
This article describes the main stages of constructing a fuzzy controller that identifies disturbances in the automatic control system by trends on the example of the brine cycle, namely, heating the purified one going to electrolysis. This method can be implemented in perturbation control systems for the formation of control actions, as well as for diagnostic purposes. The aim of the study is to synthesize a fuzzy controller for identifying and quantifying perturbations by trends. The article proposes a method for estimating perturbations by trends. A mathematical model of processes implemented in the Mathcad environment is constructed. A conceptual model of a fuzzy controller for determining the perturbation is implemented. As a result of the research conducted on the basis of the proposed method, two fuzzy controllers were synthesized that quantify disturbances in the water heating cycle, namely: the deviation of the temperature of the purified brine entering the heat exchanger, as well as the deviation of the water temperature in the tank from the norm. The developed project is of practical importance, since the information about disturbances obtained as an output value from the fuzzy controller can be used in the diagnosis and assessment of the system state at any time, which, in turn, can be used for smoother control when applying a correction signal to the controller that controls the dampers and pumps, as well as to prevent accidents.

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