Fuzzy Logic Modeling of Performance HHO Dry Cell

In this study, hydroxy (HHO) dry cell performances in terms of voltage, current and temperature were modeled with Rule-Based Mamdani-Type Fuzzy (RBMTF) modeling technique. Input parameters combination and time; output parameters voltage, current, temperature were described by RBMTF. Numerical parameters of input and output variables were fuzzificated as linguistic variables: very very low (L1), very low (L2), low (L3), negative medium (L4), medium (L5), positive medium (L6), high (L7), very high (L8) and very very high (L9) linguistic classes. In this system, there are 2 inputs and 81 rules for the every output of 9x9 matrix and totally 81x3=243 rules are generated. Hereafter the rules, which are used to detect the behavior of the fuzzy logic controller and the relationship between system’s input and output, are determined. As a result of these rules, every value obtained from the experimental study is also determined by fuzzy logic too. The comparison between experimental data and RBMTF is done by using coefficient of multiple determination (R2). Also, unperformed experiments are predicted with RBMTF. This study indicated that RBMTF can be successfully used for the specification HHO dry cell performances.