A Comprehensive Review of Multi-Valued Logic System in a Hybrid Washing Machine Controller Model

P. E. Aigbe, O. S. Adewale, E. O. Ibam

Abstract


A measure of the efficiency and wide acceptability of programmed devices is their ability to exhibit some substantial intelligent behavior. Their control systems must be able to emulate the reasoning process which, largely centers on vagueness and complexity. The controller design for Washing Machine is a multi-objective problem.  Energy consumption, the economy of materials, fabric quality retention, and the effectiveness of the washing process, being the main issues in this study all form contrasting objectives. Typically, intelligent control techniques employed in washing machines are capable of providing useful means for both energy and water conservation, and easier use.  This work aims to broaden this intelligence by the integration of neural network and fuzzy logic to produce a hybrid control system that would aid the maintenance of cloth quality in addition to clean washing in record time, as well as the economy of materials.  Neuro-fuzzy computing combines the system identification and interpretability of fuzzy models and the learning capability of neural networks in a single system. The fuzzy and neuro-fuzzy techniques will aid the system to detect the fabric, measure its quality, and take its own decisions such as the release of water and washing powder relative to the need for cloth, and determine the cleanliness of cloth at the end of the wash, all in record time.

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