Linguistic Fuzzy Modelling and Simulation for Fuzzy Logic Controller for Digital to Analog Conversion

A new approach to mixed-signal circuit interfacing based on fuzzy logic models is presented. Due to their multi valued rather than two valued logic, fuzzy logic linguistic D-A models offer a considerable improvement as compared to the classical D-A interface models. The interface presented in this paper is a data converter which processes two bit input Digital signals and outputs Analog signal. The scope for noise margin at the inputs has been considered and is examined using Gaussian Noise. The Mamdani and Zero order Sugeno inference algorithms for linguistic modeling have been utilized and their implementations are illustrated using MATLAB package. The results of the two inferences show quite similar behavior but when tested under noise Sugeno Inference system shows better results as compared to Mamdani type FIS.