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Knowledge-Based Fuzzy Control of Pilot-Scale SBR for Wastewater Treatment

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3682))

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Abstract

A fuzzy controller to optimize oxic phase of sub-cycle in pilot scale SBR (working volume, 20m3) located at public swine wastewater treatment plant was investigated. The operation mode of intermittent feeding of raw water and sub-cycle with repeating anoxic-aeration conditions were adapted to avoid the high-strength nitrogen inhibition. In sub-cycle, aeration time for ammonium oxidation was tried to control by fuzzy system using DO value and its differential values for input membership function. In previous study, a lag time of DO profile was proved to be useful for inference of nitrogen loading rates and abrupt raise of DO showed potential ability to detect ending point of ammonia oxidation, however, it also needs proper safety factor for high level DO in lag time or noisy system. Here, the fuzzy system could reduce the complexity of application. As results, the fuzzy system with the simultaneous application of DO value and its differential values was appropriate for the stable control of SBR.

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Author information

Authors and Affiliations

  1. Institute of Construction Technology, Chungbuk National University, Cheongju, Korea

    Byong-Hee Jun

  2. School of Electrical and Electronic Engineering, Chungju National University, Chungju, Korea

    Jang-Hwan Park

  3. Dept. of Electrical and Computer Engineering, Chungbuk National University, Cheongju, Korea

    Myung-Geun Chun

Authors
  1. Byong-Hee Jun
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  2. Jang-Hwan Park
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  3. Myung-Geun Chun
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Editor information

Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

    Rajiv Khosla

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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Jun, BH., Park, JH., Chun, MG. (2005). Knowledge-Based Fuzzy Control of Pilot-Scale SBR for Wastewater Treatment. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552451_83

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  • DOI: https://doi.org/10.1007/11552451_83

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28895-4

  • Online ISBN: 978-3-540-31986-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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