Design of an adaptive controller for magnetic levitation system based bacteria foraging optimization algorithm
Other Title(s)
تصميم متحكم تكيفي للتحكم في جهاز التعليق المغناطيسي استنادا إلى الأمثلية المتحققة من الخوارزمية للبكتيريا في طريقة بحثها عن الطعام
Dissertant
Thesis advisor
Comitee Members
Hamad, Basil Mahmud
Mushtaha, Muhammad Hatim
University
Islamic University
Faculty
Faculty of Engineering
Department
Electrical Engineering Department
University Country
Palestine (Gaza Strip)
Degree
Master
Degree Date
2014
English Abstract
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
Main Subjects
Topics
No. of Pages
52
Table of Contents
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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Language
English
Data Type
Arab Theses
Record ID
BIM-530653
