Fuzzy Control pp 361-375 | Cite as

Fuzzy Modeling of Dynamic Non-Linear Processes — Applied to Water Level Measurement

  • Anke Traichel
  • Wolfgang Kästner
  • Rainer Hampel
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 6)


Rule-based models realized with the help of Fuzzy Logic are more and more applied as an alternative or redundancy to classic analytical models. The algorithms of Fuzzy Logic are suitable for the modeling of the behavior between input and output variables of the process which is characterized by features like high-dimensional, high-dynamic, strong non-linear ones. The paper deals with the application of Fuzzy Logic for the modeling of the collapsed level and mixture level within a pressure vessel with water-steam mixture during accidental depressurizations. The chosen process example is characterized by high dynamics and strong non-linearities. Based on the analysis of experimental data and simulation data the input and output variables as well as the structures of the Fuzzy Models (Mamdani Fuzzy Model) are defined. The quality of the developed Fuzzy Models is validated on the basis of the comparison between experiment and model.


Fuzzy Logic Blow Down Ratio Factor Reproduction Quality Negative Pressure Gradient 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Anke Traichel
    • 1
  • Wolfgang Kästner
    • 1
  • Rainer Hampel
    • 1
  1. 1.Institute of Process Technique, Process Automation and Measuring Technique (IPM) Department Measuring Technique/Process AutomationUniversity of Applied Sciences Zittau/GörlitzZittauGermany

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