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International Conference on Computational Intelligence

Fuzzy Days 2001: Computational Intelligence. Theory and Applications pp 2–10Cite as

Microcontroller-Based Fuzzy System to Optimize the Anaerobic Digestion in Biogas Reactors

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2206))

Abstract

This paper describes a fuzzy-system for the optimization of the yield of biogas at biogas plants. The algorithm introduced allows the transformation of a PC supported developed fuzzy-model to a microcontroller-system. This system can be utilised as a robust and efficient unit for system controlling in industry. The transformation of the PC-based software-model to the microcontroller is designed user friendly due to a new fuzzy-shell.

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References

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Author information

Authors and Affiliations

  1. Institute for Bioprocessing and Analytical Measurement Techniques e.V., Rosenhof, D-37308, Heiligenstadt, Germany

    Steffen Patzwahl, Thomas Nacke, Dieter Frense & Dieter Beckmann

  2. Department of Automation and Computer Science, Hochschule Harz - University of Applied Sciences, Friedrichstraße 57-59, D-38855, Wernigerode, Germany

    Klaus-Dietrich Kramer & Tobias Tautz

  3. BTN Biotechnologie Nordhausen GmbH, Kommunikationsweg 11, D-99734, Nordhausen, Germany

    Gerd-Rainer Vollmer

Authors
  1. Steffen Patzwahl
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  2. Thomas Nacke
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  3. Dieter Frense
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  4. Dieter Beckmann
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  5. Klaus-Dietrich Kramer
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  6. Tobias Tautz
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  7. Gerd-Rainer Vollmer
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Editor information

Editors and Affiliations

  1. Computer Science I, University of Dortmund, 44221, Dortmund, Germany

    Bernd Reusch

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© 2001 Springer-Verlag Berlin Heidelberg

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Cite this paper

Patzwahl, S. et al. (2001). Microcontroller-Based Fuzzy System to Optimize the Anaerobic Digestion in Biogas Reactors. In: Reusch, B. (eds) Computational Intelligence. Theory and Applications. Fuzzy Days 2001. Lecture Notes in Computer Science, vol 2206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45493-4_2

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  • DOI: https://doi.org/10.1007/3-540-45493-4_2

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42732-2

  • Online ISBN: 978-3-540-45493-9

  • eBook Packages: Springer Book Archive

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