Adaptive Fuzzy Control for a Simulation of Hydraulic Analogy of a Nuclear Reactor

  • Da Ruan
  • Xiaozhong Li
  • Gert Van den Eynde
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 38)


In the framework of the on-going R&D project on fuzzy control applications to the Belgian Reactor I (BR1) at the Belgian Nuclear Research Centre (SCK•CEN), we have constructed a real fuzzy-logic-control demo model. The demo model is suitable for us to test and compare some new algorithms of fuzzy control and intelligent systems, which is advantageous because it is always difficult and time consuming, due to safety aspects, to do all experiments in a real nuclear environment. In this chapter, we first report briefly on the construction of the demo model, and then introduce the results of a fuzzy control, a proportional-integral-derivative (PID) control and an advanced fuzzy control, in which the advanced fuzzy control is a fuzzy control with an adaptive function that can self-regulate the fuzzy control rules. Afterwards, we present a comparative study of those three methods. The results have shown that fuzzy control has more advantages in term of flexibility, robustness, and easily updated facilities with respect to the PID control of the demo model, but that PID control has much higher regulation resolution due to its integration term. The adaptive fuzzy control can dynamically adjust the rule base, therefore it is more robust and suitable to those very uncertain occasions.


Fuzzy Logic Fuzzy Control Fuzzy Controller Fuzzy Logic Controller Adaptive Function 
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

  • Da Ruan
    • 1
  • Xiaozhong Li
    • 1
  • Gert Van den Eynde
    • 1
  1. 1.Belgian Nuclear Research Centre (SCK•CEN)MolBelgium

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