MODEL OF DECISION MAKING ОN CONTROL OF CASSETTE CONVEYOR MOVEMENT IN MECHANICAL PROCESSING PRODUCTION

Abstract

A fuzzy inference mechanism is presented to control the movement of a cassette conveyor in the production of machining. In MATLAB environment, fuzzification of input and output linguistic variables is implemented using the Fuzzy Logic Toolbox package. As a result of fuzzification of input and output linguistic variables , a base of fuzzy production rules was formed. The degrees of truth of conditions in the fuzzy production rules are calculated. The activation and accumulation procedures were performed and all the values of the degrees of truth for each rule were found. Using the Mamdani algorithm and the center of gravity method, the quantitative estimates of the output linguistic variable were obtained. An interactive window of all input and output linguistic variables by means of trapezoidal membership functions is presented.