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Proposal of a Fuzzy Control System for Heat Transfer Using PLC

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Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 573)

Abstract

The article presents a fuzzy controller design for using PLC as a control system. The subject of controlling is a mathematical model of a heat exchanger modeled in Simulink. The control algorithm was developed and configurated in the FuzzyControl++ configuration tools for the automation of technical processes. The goal of the paper is to explore the possibilities to implement and realize the potential of fuzzy control in areas belonging to the domain of classical regulation. Model of the closed loop control system in virtual environment is used to perform multiple simulations to detect the system behavior under various conditions. It is concluded that the applied control strategies can offer same properties in progress of regulation and offer better approach to intuitive knowledge base design and configuration parameters of controller.

Keywords

  • Fuzzy control
  • Programmable logic controller
  • Heat exchange

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  • DOI: 10.1007/978-3-319-57261-1_2
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Acknowledgments

The authors would like to thank for financial contribution from the STU Grant scheme for Support of Young Researchers.

The research work is supported by the Project KEGA 040STU-4/2016 Modernization of the Automatic Control Hardware course by applying the concept Industry 4.0 (Aplikacia konceptu Industry 4.0 v ramci modernizacie predmetu Technicke prostriedky automatizovaneho riadenia).

This publication is the result of implementation of the project: “UNIVERSITY SCIENTIFIC PARK: CAMPUS MTF STU - CAMBO” (ITMS: 26220220179) supported by the Research & Development Operational Program funded by the EFRR.

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Correspondence to Martin Nesticky .

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Nesticky, M., Skulavik, T., Znamenak, J. (2017). Proposal of a Fuzzy Control System for Heat Transfer Using PLC. In: Silhavy, R., Senkerik, R., Kominkova Oplatkova, Z., Prokopova, Z., Silhavy, P. (eds) Artificial Intelligence Trends in Intelligent Systems. CSOC 2017. Advances in Intelligent Systems and Computing, vol 573. Springer, Cham. https://doi.org/10.1007/978-3-319-57261-1_2

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  • DOI: https://doi.org/10.1007/978-3-319-57261-1_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-57260-4

  • Online ISBN: 978-3-319-57261-1

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