Smart Washing Machine

The washing machine is one of the important white goods in daily life. It prevents people tospend their time for doing laundry. Features including artificial intelligence such as choosing the optimumtime and program according to the type and amount of the laundry help users to make decisions instead. Ina conventional washing machine, the user has to make settings such as program selection, time, spin andtemperature himself / herself. However, thistype of decisions can be made in smart machines automatically.Smart machine can obtain the information through different sensors and use this information to make theappropriate decision about the related operations. Smart washing machines offer many different featuresthat make the user's job easier. In this study, it is aimed to obtain the most suitable washing time for a smartwashing machine system with three inputs and one output by a fuzzy controller. The triangular membershipmethod is used to fuzzify the inputs and the minimum inference engine is chosen to evaluate the predefinedrules. The effects of different defuzzification methods on the washing time duration is examined. It isobserved that designing a fuzzy controller with triangular membership function, minimum inference engineand center of gravity defuzzification can reach optimum time compared to other defuzzification methods.