Abstrait

Fuzzy Logic Based Reactivity Control in Nuclear Power Plants

Narrendar.R.C , Tilak

The advent of rule-based expert systems and multivalued logic has paved way for the evolution of fuzzy control, it differs from traditional control theory - that needs mathematical modelling of the control processes. Rather than deriving the controller via quantitative and mathematical aspects, fuzzy control replicates the control knowledge directly from domain experts, who control the processes. This represent a typical characteristic of an expert system where control is intrinsic to human’s behaviour and experience, rather than the process being controlled. It is this distinct feature that makes fuzzy control applicable for dealing with those problems where the process is so complex and nonlinear. In case of nuclear power plants control using conventional modelling is extremely tedious, wherein, it is the rule based structure combined with fuzzy set theory that makes the implication of possible fuzzy control. In this paper the methodology involved in designing the single-input-multiple-output fuzzy logic controllers for reactivity control element of a nuclear reactor is presented.