ANFIS based modelling of Boron concentration in a Pressurized Water Reactor in response to changes in power generation

Functioning, control and safety requirements of nuclear reactors must be well understood and implemented to ensure safety amongst employees and prevent accidents in nuclear power plants. This paper deals with one aspect of pressurised water reactor core control, viz., determination of Boron concentration in the reactor in response to variations in power generation in order to prevent poisoning of the core. Adaptive Neuro Fuzzy Inference System (ANFIS) is used to model the behaviour of Boron concentration in a typical Pressurised Water Reactor (PWR). The model is trained and results are validated with the data from a practical PWR in a large nuclear power plant. Power generated is used as the input and Boron concentration as the output to the model. Comparison of Boron concentration obtained from the model to the actual data shows very low percentage error and hence proves the suitability of the model.