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Design of adaptive fuzzy controller for bolu highway tunnel ventilation system

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Book cover Computational Intelligence Theory and Applications (Fuzzy Days 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1226))

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Abstract

The purpose of tunnel ventilation control is to provide a safe and comfortable environment for the users. The tunnel ventilation is optimized by controlling jet fans and dust collectors installed inside the tunnel. The jet fans blow polluted air from inside the tunnel toward air exit ports. The dust collectors remove soot and smoke so that pollutant concentration inside the tunnel is measured by CO (carbon monoxide) meters. Since this is a process involving many elements which are difficult to quantify exactly, in this paper predictive fuzzy control was introduced to solve this problem. By introducing predictive fuzzy control it was made possible to greatly reduce electric power consumption while keeping the degree of pollution within the allowable limit.

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Authors and Affiliations

  1. Department of Electrical Education, University of Kocaeli, 41100, Izmit, Turkey

    Ercüment Karakaş, Hasan Külünk & Engin Özdemir

  2. Department of Computer Engineering, University of Kocaeli, 41100, Izmit, Turkey

    Ercan Ölçer

  3. Department of Electronics & Com. Engineering, University of Kocaeli, 41100, Izmit, Turkey

    Bülent Karagöz

Authors
  1. Ercüment Karakaş
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  2. Hasan Külünk
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  3. Engin Özdemir
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  4. Ercan Ölçer
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  5. Bülent Karagöz
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Editor information

Bernd Reusch

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© 1997 Springer-Verlag Berlin Heidelberg

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Karakaş, E., Külünk, H., Özdemir, E., Ölçer, E., Karagöz, B. (1997). Design of adaptive fuzzy controller for bolu highway tunnel ventilation system. In: Reusch, B. (eds) Computational Intelligence Theory and Applications. Fuzzy Days 1997. Lecture Notes in Computer Science, vol 1226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-62868-1_132

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  • DOI: https://doi.org/10.1007/3-540-62868-1_132

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62868-2

  • Online ISBN: 978-3-540-69031-3

  • eBook Packages: Springer Book Archive

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