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Publication Type : Conference Paper
Publisher : Springer Nature Singapore
Source : Lecture Notes in Electrical Engineering
Url : https://doi.org/10.1007/978-981-15-8685-9_73
Campus : Faridabad
School : School of Artificial Intelligence
Year : 2021
Abstract : To automate the washing process, determination and measurement of system variables is a challenging task. This paper describes the arrangement of different sensors used to detect the system variables as dirtiness of laundry, the quantity of laundry, humidity, and level inside the drum. Accordingly, the fuzzy controller automatically selects the different controlling variables as washing time, amount of detergent, water level, and drying time. The main contribution of this paper is to present the simulation of system variables obtained through various sensors incorporated in the washing machine design using MATLAB fuzzy logic toolbox.
Cite this Research Publication : Tejas V. Bhatt, Akash Kumar Bhoi, Gonçalo Marques, Ranjit Panigrahi, A Fuzzy Logic Approach for Improved Simulation and Control Washing Machine System Variables, Lecture Notes in Electrical Engineering, Springer Nature Singapore, 2021, https://doi.org/10.1007/978-981-15-8685-9_73