Greenhouse climate control system based on fuzzy logic
https://doi.org/10.25206/1813-8225-2024-190-59-68
EDN: CDPHLB
Abstract
Paper is devoted to development and research of the fifth generation greenhouse climate automatic control system. This system is based on fuzzy logic toolbox and it allows to automate control processes using the latest developments in this field. In the work the concept of «microclimate of greenhouse complex» for the region of the risky agricultural zone when growing large strawberries in a closed ground.
About the Authors
L. A. Payuk
National Research Tomsk Polytechnic University
Russian Federation
Russian Federation
Payuk Lyubov Anatolyevna, Candidate of Technical Sciences, Associate Professor of Electric Power Engineering and Electrical Engineering Department
AuthorID (RSCI): 555556
AuthorID (SCOPUS): 57160434900
Tomsk
N. A. Voronina
National Research Tomsk Polytechnic University
Russian Federation
Russian Federation
Voronina Natalya Alekseyevna, Candidate of Technical Sciences, Associate Professor of Electric Power Engineering and Electrical Engineering Department
AuthorID (RSCI): 790645
AuthorID (SCOPUS): 57159363700
ResearcherID: I-9992-2018
Tomsk
A. D. Umurzakova
National Research Tomsk Polytechnic University
Russian Federation
Russian Federation
Umurzakova Anara Daukenovna, Candidate of Technical Sciences, Senior Lecturer of Electric Power Engineering and Electrical Engineering Department
AuthorID (RSCI): 834837
AuthorID (SCOPUS): 56485976200
Tomsk
E. E. Lazutkina
National Research Tomsk Polytechnic University
Russian Federation
Russian Federation
Lazutkina Elena Evgenyevna, Senior Lecturer of Electric Power Engineering and Electrical Engineering Department
AuthorID (RSCI): 891147
AuthorID (SCOPUS): 56486119300
ResearcherID: AAI-5296-2020
Tomsk
K. V. Khatsevskiy
Omsk State Technical University
Russian Federation
Russian Federation
Khatsevskiy Konstantin Vladimirovich, Doctor of Technical Sciences, Associate Professor, Professor of Electrical Engineering Department
AuthorID (RSCI): 465857
AuthorID (SCOPUS): 56503931800
ResearcherID: A-4002-2016
Omsk
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Review
For citations:
Payuk L.A., Voronina N.A., Umurzakova A.D., Lazutkina E.E., Khatsevskiy K.V. Greenhouse climate control system based on fuzzy logic. Omsk Scientific Bulletin. 2024;10(2):59-68. (In Russ.) https://doi.org/10.25206/1813-8225-2024-190-59-68. EDN: CDPHLB
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