Design GA-fuzzy logic controller for tank level control system

Other Title(s)

تصميم متحكم ضبابي باستخدام الخوارزمية الجينية لنظام التحكم في مستوى السائل

Dissertant

Ayyash, Raid Kamal Mustafa

Thesis advisor

Hamad, Basil Mahmud

University

Islamic University

Faculty

Faculty of Engineering

Department

Electrical Engineering Department

University Country

Palestine (Gaza Strip)

Degree

Master

Degree Date

2019

English Abstract

In industrial processes control, liquid level control is one of the most common applications.

Many control techniques were created time by time and used to control the liquid level.

Fuzzy logic is used with a huge difference in different control applications.

The best feature of fuzzy logic control is that it doesn't require any mathematical model for the system.

It depends on operator experience, and it is simple to apply.

Hence, a lot of complex systems can be controlled without compute the accurate mathematical model of the system.

Also, fuzzy logic control improves controlling with non-linearity‟s in complex system.

In this study, we discuss the Tank Level model as an example of non-linear systems.

It will present the design of two types of fuzzy logic controllers, Mamdani and TSK for this model to show that the fuzzy logic controller can work satisfactorily with non-linear system.

GA is used in this thesis as optimization method to optimize the membership function in the fuzzy control model.

The result of fuzzy logic controller with GA optimization have been compared with fuzzy controller without GA by using Mamdani and TSK methods.

Main Topic

Electronic engineering

No. of Pages

60

Table of Contents

• APA
• MLA
• AMA

Language

English

Data Type

Arab Theses

Record ID

BIM-903405