A Two-Variable Fuzzy Control Design with Application to an Air-Conditioning System

Snejana Yordanova, Daniel Merazchiev, Lakhmi JAIN

    Research output: Contribution to journalArticle

    19 Citations (Scopus)

    Abstract

    Air-conditioning systems provide optimal conditions for work, human health, and quality of living. At the same time, they are one of the greatest household energy consumers. Therefore, the Building Energy Management System sets high demands on their control, aiming to reduce energy consumption while ensuring indoor comfort. The classic control technique cannot satisfactorily deal with the energy-efficient stabilization of basic interacting microclimate parameters. The fuzzy logic approach offers intelligent means for the stabilization of the coupled temperature, humidity, and fresh air supply with low energy requirements. The aim of this study is to develop a model-free design method for a two-variable PI fuzzy controller for temperature and humidity control that ensures indoor comfort and reduces energy consumption by supervisory fuzzy tuning.
    Original languageEnglish
    Pages (from-to)474-481
    Number of pages8
    JournalIEEE Transactions on Fuzzy Systems
    Volume23
    Issue number2
    DOIs
    Publication statusPublished - 2015

    Fingerprint

    Fuzzy control
    Fuzzy Control
    Control Design
    Conditioning
    Air conditioning
    Energy utilization
    Stabilization
    Humidity
    Humidity control
    Optimal systems
    Energy management systems
    Energy Consumption
    Temperature control
    Fuzzy logic
    Atmospheric humidity
    Energy Management
    Set Systems
    PI Controller
    Optimal System
    Tuning

    Cite this

    Yordanova, Snejana ; Merazchiev, Daniel ; JAIN, Lakhmi. / A Two-Variable Fuzzy Control Design with Application to an Air-Conditioning System. In: IEEE Transactions on Fuzzy Systems. 2015 ; Vol. 23, No. 2. pp. 474-481.
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    A Two-Variable Fuzzy Control Design with Application to an Air-Conditioning System. / Yordanova, Snejana; Merazchiev, Daniel; JAIN, Lakhmi.

    In: IEEE Transactions on Fuzzy Systems, Vol. 23, No. 2, 2015, p. 474-481.

    Research output: Contribution to journalArticle

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    AU - Yordanova, Snejana

    AU - Merazchiev, Daniel

    AU - JAIN, Lakhmi

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