Controlling Water Level Using Fuzzy Logic Controller.

Abstract

This project is basically about controlling water level using Fuzzy Logic controller. Traditionally, accurate mathematical model-based strategies have been applied to deal with control problems. However, water level control system, for example, is very complex system, because of the nonlinearities and uncertainties of a system. Conventional control approaches are not convenient to solve the complexities. Fuzzy logic control have emerged over the years and become one of the most active areas of research. There are many works in literature addressed the water level control issues using fuzzy logic. Due to its simplicity, fuzzy logic control method became most famous in this application. Fuzzy logic is a form of probabilistic logic or many-valued logic. It deals with approximate reasoning rather than fixed and exact. Unlike traditional binary sets, where variables take either true or false values, fuzzy logic variables have a truth value that ranges in degree between 1 and 0. The truth value may range between completely true and completely false. Thus Fuzzy logic has been extended to handle the concept of partial truth. Fuzzy logic is a part of artificial intelligence or machine learning which interprets a human’s actions. Computers can interpret only true or false values but a human being can reason the degree of truth or degree of falseness. Fuzzy models interpret the human actions and are also called intelligent systems.