Fuzzy Logic Controller

IOP Conference Series: Materials Science and Engineering, 2019

This paper aims to model and simulate washing machine based on user expert knowledge using fuzzy logic. Fuzzy logic inference process to control washing machine in this study use Mamdani method. The method has four steps Fuzzification of linguistic variable, rule evaluation (based on expert experience), aggregation of the rules outputs and final defuzzification. Input linguistic variable used are dirtiness of the clothes, type of fabric, type of dirt and amount of the clothes and the output variable is washing time, washing speed, water intake and water temperature. The system is designed and simulated using Fuzzy logic toolbox on MATLAB. Result show that the washing machine inference relate to user expert perception. The main advantage of using fuzzy logic in washing machine is that it reduce water and electricity consumption also good time management.

European Journal of Engineering Science and Technology, 2019

Nowadays, in the Libyan households, washing machines are a very common items. It is not only a big time saver over hand washing, but also it saves a great effort, people can carry out another task and then return back to the machine to get their clothes clean and even dry. The only things they need to do are load the clothes into the machine, throw detergent in, run it, and walk away. This paper shows the importance of fuzzy logic control based washing machine to get a suitable wash, rinse, and spin time for different types and amount of clothes and amount of dirtiness. The process is based on fuzzy inference system. The signals that come out from sensors are fed to the fuzzy controller as non-precise inputs to get the desired output (a crisp value of washing time, rinsing time and spinning time). The Simulation was done by MATLAB's fuzzy logic toolbox.

International Journal of Computer Applications, 2016

Laundry is an essential part of people's daily life. Good washing machine can not only save energy, but also carry on a more reasonable washing to the clothes to prolong its service life. Automatic washing machine frees the user's hands, so that the user can better allocate the time to do other work, so as to improve the work efficiency. Therefore, a fuzzy logic controller (FLC) based washing machine needs to be designed. This paper presents an improved fuzzy logic based control system for washing machines. The simulation results show that the system has a shorter washing time.

Fuzzy controllers were used in all processing steps of wastewater treatment. It was also observed that the fuzzy controllers provide very good results in various operating conditions. Depends on the process sensitivity the direct control methods may have lot of failures, but the application of fuzzy logic in waste water treatment become very important in recent scenario. Keeping this in mind the quick review on the fuzzy logic applications in wastewater treatment is necessary to understand the wide variety of uses. Many uncertain factors may affect the operation of Wastewater Treatment process, due to the complexity of wastewater treatment processes, classical methods showed significant difficulties when trying to control them automatically. Consequently soft computing techniques and, specifically, fuzzy logic appears to be a good idea for controlling these ill-defined, time-varying and non-linear systems. Hence the understanding of application of fuzzy logic becomes a need of the hour.

The Paper describes a study of washing machine using fuzzy logic controller as compare to conventional washing machine.Now a days Fuzzy logic washing machines are gaining popularity. Washing machine which don't use fuzzy controller serves most purpose of washing function but wash time is somewhat not dealt properly but machines that employ fuzzy control are able to calculate the effect of a number of variables and decide the right settings for the wash. These machines offer the advantages of performance, productivity, simplicity and less cost.

Washing machines are part of almost every house now, as they provide individuals with a fast and successful way to clean up clothes. However, they lack the automaticity which would save loads of time when the thought of how much time is spent on determining the appropriate program. Standard washing machines also lack the number of choices in terms of temperature, washing cycle, etc. since such detailed input cannot be easily determined by non-professional washing machine users.This paper aims to suggest a washing machine algorithm that even non-professional washing machine users can use without trouble, which provides the optimal program according to the specified cloth types regarding their colours, delicacy levels and stain levels using "Fuzzy Logic" as a mathematical plane.The fuzzy approach provides a reasonable base for the resulting washing program by combining human intelligence and decision skills with machine precision. Another contribution of this mathematical system to the algorithm is its adaptability to various conditions in washing a cloth such as taking its colour, delicacy level, and stain level into consideration. As a result, the algorithm gives out three outputs namely "Washing Cycle", "Spin Cycle" and "Temperature" in which "Fuzzy Intersection" and "Fuzzy Weighted Average"methods are used to achieve.

Water, 2023

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY

2014

Wastewater reuse is being increasingly promoted as a strategy for conservation of limited resources of freshwater and as a mean of safeguarding the aquatic environment from contaminants present in wastewater. Waste water disposed of in the ground reduces the quality of ground water and surface waters. Untreated waste-water generally contains high levels of organic material, numerous pathogenic microorganisms which entails environmental and health hazards. In this project, a design of an automated control for industrial waste water treatment using fuzzy logic control is presented. Fuzzy control concepts have been adopted and control algorithms based on pH and temperature variations provided accurate and reliable treatment of waste water. Two inputs, pH and temperature, and four outputs, hot and cold water valve and acid and base valve were given to the system. The behavior of the system was observed whenever an input came in. the pH was to be kept at a neutral status of between 6.5 a...

Scientific Programming

Washing machines (WMs) are common household appliances that help to save time and effort used in brushing and washing clothes. It is a common practice to use manually operated WMs, and based on their uses, WMs are classified into top and front open cloth washing machines, which operate based on an automatic control mechanism. In this paper, we present the design and simulation of an Arduino fuzzy logic-based WM control system, with an emphasis on improvement in its operating algorithm. Simulations were performed to determine the optimal time the WM takes to wash clothes, the maximum number of clothes the WM can wash per time, the acceptable dirtiness level of cloths, and the type of clothes that the machine can wash. The number of clothes to be washed, the degree of dirtiness, and the type of clothes govern the fuzzy logic control process adopted by the WM. The output voltage of the WM varies as the degree of dirtiness of the water varies from 0 to 1.95 V for very dirty water output...

Environmental Technology, 2005