Design of a fuzzy controller with simplified architecture

Abstract

This work presents the design of a fuzzy controller with simplified architecture. This architecture tries to minimize the time processing used in the several stages of hazy modeling of systems and processes. The basic procedures of fuzzification and defuzzification are simplified to the maximum while the inference procedures are computed in private way. Therefore, the simplified architecture allows a fast and easy configuration of the fuzzy controller. All rules that define the control actions are determined by inference procedures and the defuzzification is made automatically using a simplified algorithm. The fuzzy controller operation is standardized and the control actions are previously calculated. For general-purpose application and results, the industrial systems of fluid flow control will be considered.