Neutron Power Control using a Fuzzy Algorithm with Exact Aggregation and Defuzzification
Jorge Samuel Benitez-Read, Régulo López-Callejas, Joel Osbaldo Pacheco-Sotelo, Luis Carlos Longoria-Gándara · Intelligent Automation & Soft Computing · 2005
Abstract An algorithm is presented for computing an exact aggregation of fuzzy sets that represent the rule consequents feed by the inference engine of a fuzzy controller. Simple closed form expressions of the center of gravity defuzzification method are used to obtain the controller’s crisp output. The basic idea is to determine characteristics such as overlapping, intersection points and level of activation among the activated fuzzy sets in every control cycle. When compared to other techniques that use discrete universes of discourse, this exact aggregation and defuzzification method requires fewer operations, improving also the accuracy of the controller’s output. Several simulations are presented using the algorithm to regulate the neutron power in a research reactor.