THE CONTROLLER OF FUZZY LOGIC IN THE MANAGEMENT OF TECHNOLOGICAL PROCESSES
Introduction. The current stage of progress is associated with the development and implementation of intelligent systems and technologies that provide the formation of clear solutions based on fuzzy rules, fuzzy conclusion and fuzzy control. However, the classical control methods work well only with...
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Siberian State Automobile and Highway University
2018-03-01
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doaj-f2ec39d384b14c79900138965b05737c2021-07-28T13:55:00ZrusSiberian State Automobile and Highway University Вестник СибАДИ2071-72962658-56262018-03-0115110611410.26518/2071-7296-2018-1-106-114464THE CONTROLLER OF FUZZY LOGIC IN THE MANAGEMENT OF TECHNOLOGICAL PROCESSESS. V. Shilkina0E. N. Fokina1National Research Moscow State University of Civil EngineeringNational Research Moscow State University of Civil EngineeringIntroduction. The current stage of progress is associated with the development and implementation of intelligent systems and technologies that provide the formation of clear solutions based on fuzzy rules, fuzzy conclusion and fuzzy control. However, the classical control methods work well only with a completely deterministic control object and deterministic environment, but for fuzzy information systems and highly complex control object, fuzzy control methods are optimal. Material and methods. Moreover, the process of decision-making by a person in the management of technological processes is modeled and simulated by a fuzzy controller with a base of rules. In recent years, “fuzzy” control has been successfully used to manage and operate a number of systems. Discussion and results. Therefore, this article is devoted to the consideration of fuzzy logic controller’s application in management systems and existing research methods’ analysis in the field of intelligent control technologies for solving the problems of adaptation of applied models and algorithms to various objects and systems, particularly to the systems for maintaining the microclimate parameters of the building’s life support environment, and also to the basic parameters of increasing the economic efficiency of using the fuzzy logic controller in the control system.Conclusion. Analyzed control methods based on fuzzy logic are applicable to various technological objects and systems. As a further study, it is planned to consider the issues of fuzzy control of various life support systems of a modern building.https://vestnik.sibadi.org/jour/article/view/588intelligent technologiesfuzzy logic controlcontrollerregulatoractuatoralgorithm |
collection |
DOAJ |
language |
Russian |
format |
Article |
sources |
DOAJ |
author |
S. V. Shilkina E. N. Fokina |
spellingShingle |
S. V. Shilkina E. N. Fokina THE CONTROLLER OF FUZZY LOGIC IN THE MANAGEMENT OF TECHNOLOGICAL PROCESSES Вестник СибАДИ intelligent technologies fuzzy logic control controller regulator actuator algorithm |
author_facet |
S. V. Shilkina E. N. Fokina |
author_sort |
S. V. Shilkina |
title |
THE CONTROLLER OF FUZZY LOGIC IN THE MANAGEMENT OF TECHNOLOGICAL PROCESSES |
title_short |
THE CONTROLLER OF FUZZY LOGIC IN THE MANAGEMENT OF TECHNOLOGICAL PROCESSES |
title_full |
THE CONTROLLER OF FUZZY LOGIC IN THE MANAGEMENT OF TECHNOLOGICAL PROCESSES |
title_fullStr |
THE CONTROLLER OF FUZZY LOGIC IN THE MANAGEMENT OF TECHNOLOGICAL PROCESSES |
title_full_unstemmed |
THE CONTROLLER OF FUZZY LOGIC IN THE MANAGEMENT OF TECHNOLOGICAL PROCESSES |
title_sort |
controller of fuzzy logic in the management of technological processes |
publisher |
Siberian State Automobile and Highway University |
series |
Вестник СибАДИ |
issn |
2071-7296 2658-5626 |
publishDate |
2018-03-01 |
description |
Introduction. The current stage of progress is associated with the development and implementation of intelligent systems and technologies that provide the formation of clear solutions based on fuzzy rules, fuzzy conclusion and fuzzy control. However, the classical control methods work well only with a completely deterministic control object and deterministic environment, but for fuzzy information systems and highly complex control object, fuzzy control methods are optimal. Material and methods. Moreover, the process of decision-making by a person in the management of technological processes is modeled and simulated by a fuzzy controller with a base of rules. In recent years, “fuzzy” control has been successfully used to manage and operate a number of systems. Discussion and results. Therefore, this article is devoted to the consideration of fuzzy logic controller’s application in management systems and existing research methods’ analysis in the field of intelligent control technologies for solving the problems of adaptation of applied models and algorithms to various objects and systems, particularly to the systems for maintaining the microclimate parameters of the building’s life support environment, and also to the basic parameters of increasing the economic efficiency of using the fuzzy logic controller in the control system.Conclusion. Analyzed control methods based on fuzzy logic are applicable to various technological objects and systems. As a further study, it is planned to consider the issues of fuzzy control of various life support systems of a modern building. |
topic |
intelligent technologies fuzzy logic control controller regulator actuator algorithm |
url |
https://vestnik.sibadi.org/jour/article/view/588 |
work_keys_str_mv |
AT svshilkina thecontrolleroffuzzylogicinthemanagementoftechnologicalprocesses AT enfokina thecontrolleroffuzzylogicinthemanagementoftechnologicalprocesses AT svshilkina controlleroffuzzylogicinthemanagementoftechnologicalprocesses AT enfokina controlleroffuzzylogicinthemanagementoftechnologicalprocesses |
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