Production Model of Cassette Conveyor Motion Control in Mechanical Processing

EasyChair Preprint no. 8571

Abstract

A fuzzy inference mechanism is presented for cassette conveyor motion control in mechanical processing. In the 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 for cassette conveyor motion control in mechanical processing, bases of fuzzy production rules were formed. The degrees of validity of conditions in the fuzzy production rules are calculated. The activation and accumulation procedures were performed and all the values ​​of the degrees of validity of the conclusions for each rule were found.  Using the Mamdani algorithm via the application of the center of gravity method, 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 put forward.

Keyphrases: cassette conveyor, Fuzzification, fuzzy inference, membership function, production rules

@Booklet{EasyChair:8571,
  author = {Irada Zeynalabdiyeva},
  title = {Production Model of Cassette Conveyor Motion Control in Mechanical Processing},
  howpublished = {EasyChair Preprint no. 8571},

  year = {EasyChair, 2022}}