Fuzzy logic controller design for seesaw system / Lorothy Morrison

This report deals with the Seesaw system that would be controlled by Fuzzy Logic Controller (FLC). The objective of this project is to control the Seesaw position so that it remains in horizontal position. In order to achieve this objective, the Fuzzy Logic Controller would be designed by using the...

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Bibliographic Details
Main Author: Lorothy, Morrison
Format: Thesis
Language:English
Published: 1999
Online Access:https://ir.uitm.edu.my/id/eprint/103304/1/103304.pdf
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Summary:This report deals with the Seesaw system that would be controlled by Fuzzy Logic Controller (FLC). The objective of this project is to control the Seesaw position so that it remains in horizontal position. In order to achieve this objective, the Fuzzy Logic Controller would be designed by using the existing software known as FuzzyTECH software. Towards the end of this project, the comparison would be done between the PID controller and the Fuzzy Logic Controller designed in terms of their performance. Previously, the Conventional Controllers have been applied to achieve this objective. In fact, this conventional controller has proven to give a very good result. The most commonly used conventional controllers in industrial process control system are Proportional + Integral + Derivative (PID) Controllers. It is preferable due to its simple structure and robust performance. Fuzzy logic Controller is designed to reflect the reasoning and action of human operator. More precise, the fuzzy control is constructed from knowledge based rules combined with control strategy to achieve control purpose. The knowledge-based rules expressed in a near-natural human language format are the know-how of a human operator concerning the manipulation of that particular system. It has been proven to be successful in many applications in which the conventional control method could not give a satisfactory performance. Fuzzy controllers show superior performance especially systems that are non-linear, complex and unpredictable.