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Fuzzy Logic Control Application: Design and Simulation for Washing Machine
Gilbert Gutabaga Hungilo, Gahizi Emmanuel, Jaouja Maiga, Albertus Joko Santoso

UNIVERSITAS ATMA JAYA YOGYAKARTA, INDONESIA


Abstract

This paper aims to create washing machine model and simulate based on user expert knowledge using fuzzy logic. Fuzzy logic inference process to control washing machine in this study use Mamdani method. The method has four steps Fuzzification of linguistic variable, rule evaluation (based on expert experience), aggregation of the rules outputs and final defuzzification. Input linguistic variable used are dirtiness of the clothes, type of fabric, type of dirt and amount of the clothes and the output variable is washing time, washing speed, water intake and water temperature. The system is designed and simulated using Fuzzy logic toolbox on MATLAB. Result show that the washing machine inference relate to user expert perception. The main advantage of using fuzzy logic in washing machine is that it reduce water and electricity consumption also good time management

Keywords: Fuzzy Logic, System Control, Fuzzification, Defuzzification, Washing Machine.

Topic: Informatic and Information System

Link: https://ifory.id/abstract/rMuL9b8TjdQR

Conference: 2nd International Conference on Informatics, Engineering, Science and Technology (INCITEST 2019)

Plain Format | Corresponding Author (Gilbert Gutabaga Hungilo)

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