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Modernization of a cooling water control system for the production of plastic pipes using fuzzy logic
Author(s) -
Marin Kochev,
Malinka Ivanova
Publication year - 2021
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.177
H-Index - 75
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/5.0042094
Subject(s) - fuzzy logic , gas compressor , fuzzy control system , computer science , control system , control engineering , adaptive neuro fuzzy inference system , production (economics) , water cooling , base (topology) , energy consumption , freon , control (management) , control theory (sociology) , engineering , mechanical engineering , artificial intelligence , mathematics , chemistry , organic chemistry , economics , macroeconomics , mathematical analysis , electrical engineering
Fuzzy logic is successfully used in the area of control systems where different problems are decided in flexible way leading to more efficient systems’ performance. Such approach is suitable when the modeled system is complex and some parameters cannot be defined precisely. In this paper a fuzzy model of improved cooling water control system utilized in plastic pipes production is proposed. Its aim is more effective regulation of the freon compressor load to be achieved that influences on economy in energy consumption. The developed model is verified through simulation in FisPro environment where the knowledge base, fuzzy membership functions and inference engine are modeled.

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