Open AccessFuzzy Logic Control Application: Design and Simulation for Washing Machine
Author(s) -
Gilbert Gutabaga Hungilo,
Gahizi Emmanuel,
Jaouja Maiga,
Ari Santoso
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/662/2/022046
Subject(s) - fuzzy logic , defuzzification , computer science , artificial intelligence , fuzzy control system , expert system , machine learning , control engineering , fuzzy set , data mining , engineering , fuzzy number
This paper aims to model and simulate washing machine 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.