Developing an Intelligent Washing Machine with a Fuzzy Logic Controller

Abstract

Nowadays, washing technologies are extensively used in every household. The purpose of this work is to create and develop a fuzzy logic-based system for improving the intelligence of washing machines. In complex control systems, fuzzy logic is more effective when compared to traditional procedures. The fuzzy technique combines machine precision as well as human intelligence to produce an adequate base for the future washing program. The entire method relies on the idea of using fuzzy logic to transform non-precise sensor inputs into a precise number representing the washing duration. Furthermore, using fuzzy logic conserves water, laundry detergent, and power, as well as saving time, which is a significant element in lowering process expenses. To improve the system, this proposed study includes three output variables and six input variables. Moreover, this paper explains, depending on the color and fabric type of the cloth, how a certain type of detergent and water temperature will be applied to existing inputs such as dirt type, dirt degree, and cloth quantity. As a result, an improved fuzzy logic controller-based washing machine system must be built to accommodate the color of clothes and the type of detergent. This proposed Fuzzy Logic Controller (FLC) is simulated using MATLAB's fuzzy logic toolkit.