Fuzzy Logic - Controls, Concepts, Theories and Applications

428 Pages·2012·17.55 MB·English

by  E. Dadios

FUZZY LOGIC – CONTROLS,
CONCEPTS, THEORIES
AND APPLICATIONS

Edited by Elmer P. Dadios
Fuzzy Logic – Controls, Concepts, Theories and Applications
Edited by Elmer P. Dadios

Published by InTech
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Copyright © 2012 InTech
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First published March, 2012
Printed in Croatia

A free online edition of this book is available at www.intechopen.com
Additional hard copies can be obtained from [email protected]

Fuzzy Logic – Controls, Concepts, Theories and Applications, Edited by Elmer P. Dadios
p. cm.
ISBN 978-953-51-0396-7

Contents

Preface IX
Part 1 Robotics and Electrical Machines 1
Chapter 1 Humanoid Robot: Design and Fuzzy Logic
Control Technique for Its Intelligent Behaviors 3
Elmer P. Dadios, Jazper Jan C. Biliran,
Ron-Ron G. Garcia, D. Johnson, and Adranne Rachel B. Valencia
Chapter 2 Application of Fuzzy Logic in Mobile Robot Navigation 21
Tang Sai Hong, Danial Nakhaeinia and Babak Karasfi
Chapter 3 Modular Fuzzy Logic Controller for
Motion Control of Two-Wheeled Wheelchair 37
Salmiah Ahmad, N. H. Siddique and M. O. Tokhi
Chapter 4 Fuzzy Control System Design and Analysis
for Completely Restrained Cable-Driven Manipulators 59
Bin Zi
Chapter 5 Control and Estimation of
Asynchronous Machines Using Fuzzy Logic 81
José Antonio Cortajarena, Julián De Marcos,
Fco. Javier Vicandi, Pedro Alvarez and Patxi Alkorta
Chapter 6 Application of Fuzzy Logic in
Control of Electrical Machines 107
Abdel Ghani Aissaoui and Ahmed Tahour
Part 2 Control Systems 129
Chapter 7 Fuzzy Logic Control for Multiresolutive
Adaptive PN Acquisition Scheme in
Time-Varying Multipath Ionospheric Channel 131
Rosa Maria Alsina-Pages, Claudia Mateo Segura,
Joan Claudi Socoró Carrié and Pau Bergada
VI Contents

Chapter 8 Fuzzy Control in Power Electronics
Converters for Smart Power Systems 157
Harold R. Chamorro and Gustavo A. Ramos
Chapter 9 Synthesis and VHDL Implementation of
Fuzzy Logic Controller for Dynamic Voltage and
Frequency Scaling (DVFS) Goals in Digital Processors 185
Hamid Reza Pourshaghaghi,
Juan Diego Echeverri Escobar and José Pineda de Gyvez
Chapter 10 Precision Position Control of Servo Systems Using Adaptive
Back-Stepping and Recurrent Fuzzy Neural Networks 203
Jong Shik Kim, Han Me Kim and Seong Ik Han
Chapter 11 Operation of Compressor and Electronic
Expansion Valve via Different Controllers 223
Orhan Ekren, Savas Sahin and Yalcin Isler
Chapter 12 Intelligent Neuro-Fuzzy Application
in Semi-Active Suspension System 237
Seiyed Hamid Zareh, Atabak Sarrafan,
Meisam Abbasi and Amir Ali Akbar Khayyat
Chapter 13 Fuzzy Control Applied to Aluminum Smelting 253
Vanilson G. Pereira, Roberto C.L. De Oliveira and Fábio M. Soares
Part 3 Concepts and Theories 279
Chapter 14 Rough Controller Synthesis 281
Carlos Pinheiro, Ulisses Camatta and Angelo Rezek
Chapter 15 Switching Control System Based on Largest of Maximum
(LOM) Defuzzification – Theory and Application 301
Logah Perumal and Farrukh Hafiz Nagi
Chapter 16 A Mamdani Type Fuzzy Logic Controller 325
Ion Iancu
Chapter 17 Tuning Fuzzy-Logic Controllers 351
Trung-Kien Dao and Chih-Keng Chen
Chapter 18 Fuzzy Control: An Adaptive Approach Using
Fuzzy Estimators and Feedback Linearization 373
Luiz H. S. Torres and Leizer Schnitman
Chapter 19 Survey on Design of Truss Structures
by Using Fuzzy Optimization Methods 393
Aykut Kentli

Preface

The search for the development of intelligent systems and emerging technologies has
attracted so much attention over the centuries and created relentless research
activities. The development of robotics and intelligent machines that have similar
behavior to humans performing day to day activities is one of the greatest challenge
scientist and researchers have to undertake. The quest and discoveries of new concepts
and theories for intelligent non-conventional control systems denote significant
technology developments that capture new territory for the betterment of humanity.
To date, creating new technologies and innovative algorithms is the focused of
research and development. Fuzzy logic system is one of the innovative algorithms
that showed promising results in developing emerging technologies.
Fuzzy logic was first proposed in 1965 by Lotfi A. Zadeh of the University of
California at Berkeley. Fuzzy logic is based on the idea that humans do not think in
terms of crisp numbers, but rather in terms of concepts. The degree of membership of
an object in a concept may be partial, with an object being partially related to many
concepts. By characterizing the idea of partial membership in concepts, fuzzy logic is
better able to convert natural language control strategies in a form usable by machines.
The application of fuzzy logic in control problem was first introduced by Mamdani in
1974.
This book exhaustively discusses fuzzy logic controls, concepts, theories, and
applications. It is categorized into three sections, namely:
1. Robotics and Electrical Machines.
2. Control Systems
3. Concepts and Theories
In section one, there are four chapters that focus on fuzzy logic applications to
robotics, particularly:
1. Humanoid Robot - Design and Fuzzy Logic Control Technique for its Intelligent
Behaviors
2. Application of Fuzzy Logic in Mobile Robot Navigation
3. Modular Fuzzy Logic Controller for Two-Wheeled Wheelchair
X Preface

4. Fuzzy Control System Design and Analysis for Completely Restrained Cable-
Driven Manipulators
The next two chapters are focus on fuzzy logic applications to electrical machines,
namely:
1. Control and Estimation of Asynchronous Machines using Fuzzy Logic.
2. Application of Fuzzy Logic in Control of Electrical Machines.
In section two, there are seven chapters that focus on control systems, particularly:
1. Fuzzy Logic Control for Multiresolutive Adaptive PN Acquisition Scheme in
Time-Varying Multipath Ionospheric Channel
2. Fuzzy Control in Power Electronics Converters for Smart Power Systems
3. Synthesis and VHDL Implementation of Fuzzy Logic Controller for Dynamic
Voltage and Frequency Scaling (DVFS) Goals in Digital Processors
4. Precision Position Control of Servo Systems Using Adaptive Back-Stepping and
Recurrent Fuzzy Neural Networks.
5. Operation of Compressor and Electronic Expansion Valve via Different
Controllers
6. Intelligent Neuro-Fuzzy Application in Semi-Active Suspension System
7. Fuzzy Control Applied to Aluminum Smelting
Finally, section three consists of six chapters dedicated to concepts and theories,
particularly:
1. Rough Controller Synthesis
2. Switching Control System Based on Largest of Maximum (LOM) Defuzzification;
Theory and Application
3. A Mamdani Type Fuzzy Logic Controller
4. Tuning Fuzzy-Logic Controllers
5. Fuzzy Control: an Adaptive Approach Using Fuzzy Estimators and Feedback
Linearization
6. Survey on Design of Truss Structures by Using Fuzzy Optimization Methods
The contributions to this book clearly reveal the concepts and theories of fuzzy logic as
well as its importance and effectiveness to the development of robotics, electrical
machineries, electronics and intelligent control systems. The readers will find this book
a unique and significant source of knowledge and reference for the years to come.

Elmer P. Dadios
University Fellow and Full Professor,
Department of Manufacturing Engineering and Management,
De La Salle University
Philippine