Design of Fuzzy Logic Controller for Washing Machine

TL;DR

The paper addresses optimizing washing-machine operation under uncertainty from factors such as fabric type, dirt level, and load volume. It uses a Mamdani fuzzy logic controller with a multi-input multi-output framework implemented in Python, incorporating fuzzification, rule-based inference, and centroid defuzzification. A concrete five-step design procedure is presented, and simulation results indicate that the fuzzy controller reduces wash time, water, and detergent use while lowering computational cost. The work demonstrates the practical viability of fuzzy control for home appliances and suggests potential for further enhancement by adding more parameters for optimization.

Abstract

Things are becoming more advanced as technology advances,and machines now perform the majority of the manual work. The most often used home appliance is the washing machine for cloths. In this paper, we used the Mamdani approach and created an algorithm based on multi-input multi-output. The algorithm is implemented in Python.The results of this simulation show that the washing machine provides better execution at a low computation cost