Design of an adaptive controller for magnetic levitation system based bacteria foraging optimization algorithm

العناوين الأخرى

تصميم متحكم تكيفي للتحكم في جهاز التعليق المغناطيسي استنادا إلى الأمثلية المتحققة من الخوارزمية للبكتيريا في طريقة بحثها عن الطعام

مقدم أطروحة جامعية

al-Ghamri, Ramzi Jasir Hasan

مشرف أطروحة جامعية

al-Aydi, Hatim Ali

أعضاء اللجنة

Hamad, Basil Mahmud
Mushtaha, Muhammad Hatim

الجامعة

الجامعة الإسلامية

الكلية

كلية الهندسة

القسم الأكاديمي

قسم الهندسة الكهربائية

دولة الجامعة

فلسطين (قطاع غزة)

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2014

الملخص الإنجليزي

Design of controllers for non- linear systems in industry is very complex and difficult task.

Because of importance, researchers have been doing their best efforts for finding the best controller for these systems to achieve their demands.

Many approaches have been developed in this way to help in control of such systems such as; optimal control, robust control, fuzzy control, and adaptive control.

One approach, which has shown promise for solving nonlinear control problems, is Adaptive Control (AC) based on Optimization Techniques especially adaptive PID and Model Reference Adaptive Control (MRAC) based on Bacterial Foraging Optimization Algorithm (BFOA) to optimize the controller parameters.

In this thesis a magnetic levitation system is considered as a case study for nonlinear systems.

The adaptive controller is designed to keep a magnetic object suspended in the air counteracting the weight of the object.

Two educational models will be used in this thesis that is 730 and CE152.

We will design two controllers; adaptive PID controller and MRAC based BFOA to control of this system using Matlab/Simulink software.

The results will be compared with that coming from using Fuzzy Logic (FL) based Genetic Algorithm (GA), Feedback Linearization (FBL), Deadbeat, and Controller

التخصصات الرئيسية

الهندسة الكهربائية

الموضوعات

عدد الصفحات

52

قائمة المحتويات

Table of contents.

Abstract.

Abstract in Arabic.

Chapter One : Introduction.

Chapter Two : Adaptive control system and nonlinear magnetic levitation system.

Chapter Three : Bacteria foraging optimization algorithm.

Chapter Four : Simulation and results.

Chapter Five : Conclusion and future work.

References.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

al-Ghamri, Ramzi Jasir Hasan. (2014). Design of an adaptive controller for magnetic levitation system based bacteria foraging optimization algorithm. (Master's theses Theses and Dissertations Master). Islamic University, Palestine (Gaza Strip)
https://search.emarefa.net/detail/BIM-530653

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

al-Ghamri, Ramzi Jasir Hasan. Design of an adaptive controller for magnetic levitation system based bacteria foraging optimization algorithm. (Master's theses Theses and Dissertations Master). Islamic University. (2014).
https://search.emarefa.net/detail/BIM-530653

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

al-Ghamri, Ramzi Jasir Hasan. (2014). Design of an adaptive controller for magnetic levitation system based bacteria foraging optimization algorithm. (Master's theses Theses and Dissertations Master). Islamic University, Palestine (Gaza Strip)
https://search.emarefa.net/detail/BIM-530653

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-530653