Adaptive Fuzzy Control for a Simulation of Hydraulic Analogy of a Nuclear Reactor
Da Ruan, Xiaozhong Li, Gert Van den Eynde · Studies in fuzziness and soft computing · 2000
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. 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.