Artificial Intelligence Resources in Control and Automation Engineering


by

Evelio J. González

DOI: 10.2174/97816080512671120101
eISBN: 978-1-60805-126-7, 2012
ISBN: 978-1-60805-589-0



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Indexed in: Scopus

This e-book focuses on the application of artificial intelligence resources in fields related to Control and Automation Engineering. T...[view complete introduction]

Table of Contents

Foreword

- Pp. i

Lorenzo Moreno

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Preface

- Pp. ii

Evelio J. González, Leopoldo Acosta and Alberto F. Hamilton

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List of Contributors

- Pp. iii-iv (2)

Evelio J. González, Leopoldo Acosta and Alberto F. Hamilton

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Intelligent PID DC Motor Speed Control Alteration Parameters Using Particle Swarm Optimization

- Pp. 3-14 (12)

Boumediène Allaoua

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Systems Theoretic Techniques for Modeling, Control and Decision Support in Complex Dynamic Systems

- Pp. 15-72 (58)

Armen Bagdasaryan

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Fuzzy Controllers Design for the Inertia Wheel Inverted Pendulum

- Pp. 73-91 (19)

Fatah Chetouane

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Engineering Congestion Control of Internet Video Streaming with Fuzzy Logic

- Pp. 92-107 (16)

Martin Fleury, Emanuel A. Jammeh and Mohammed Ghanbari

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Artificial Intelligence and Electrical Drives

- Pp. 108-134 (27)

Ben Hamed Mouna and Sbita Lassaâd

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Mobile Manipulator with Resolved Acceleration and Knowledge-Based Fuzzy Active Force Control

- Pp. 135-158 (24)

M. Mailah, E. Pitowarno and A. Noshadi

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Intelligent Systems Used in Continuous Casting Process

- Pp. 159-179 (21)

Gelu Ovidiu Tirian

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A Novel Electric Load Demand Forecaster Using Taguchi’s Method and Artificial Neural Network

- Pp. 180-192 (13)

Albert W.L. Yao, J.H. Sun, H.T. Liao, C.Y. Liu and C.T. Yin

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An Application of a Dynamic Matrix Control Algorithm: Path Tracking Using Predictive Control

- Pp. 193-197 (5)

J. Espelosín, A. Hamilton, L. Acosta, J. Toledo and E.J. González

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Index

- Pp. 198

Evelio J. González, Leopoldo Acosta Sánchez and Alberto F. Hamilton Castro

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Foreword

It brings me immense satisfaction to have been asked to write the prologue for this book, the content of which is dedicated to presenting a variety of research that has been carried out in the areas of Control and Automation, and one shared by us all, that of Artificial Intelligence.

Personally, I have had the pleasure of working with the editors of this book for many years here at the University of La Laguna, years in which many personal, educational and research based discoveries have been made.

I began working alongside Leopoldo Acosta from the moment I joined the University of La Laguna, more than 20 years ago. Those first few years were intense years, but ones in which I was lucky enough to count on his support from day one. His doctoral thesis (1991) focused on Control, but more specifically on Dynamic Programming in Continuous/Discreet Deterministic and Stochastic Systems; it was work that dealt with finding the heuristic properties that would reduce the spatial and temporal complexity of Dynamic Programming.

Later, Alberto Hamilton joined the group, and together, we continued to pursue and develop this line of investigation, including, under the same approach, Neuronal Networks; our aim is to substitute the stages of Dynamic Programming with Neuronal Network Systems. His doctoral thesis defence, lead by Leopoldo and myself, was conducted in 1995.

Evelio González’s incorporation reinforced the role of Artificial Intelligence. His doctoral thesis, which was led by Alberto Hamilton, tackled the subject matter of Multipurpose Structures based on Intelligent Agents, as well as the systemisation of the use of Multistage Neuronal Networks in Control. His doctoral thesis defence was conducted in 2004.

Since then we have dedicated ourselves to different tasks related to Control, Robotics and Education, even though our shared background is in Artificial Intelligence. It has been of great pleasure to work with all of them over these many years.

Now, in 2011, they have gone on to edit this book, one in which researchers from all over the world have presented their own particular research relating to the practical application of Artificial Intelligence to the problems found in Control and Robotics.

It is always good news when a new book is released, and for this reason sincere congratulations go to the authors and editors of this book.

Lorenzo Moreno
Director of Systems Engineering and Automation and Computer Architecture Department
University of La Laguna
Spain


Preface

This book series focuses on the application of Artificial Intelligence resources in fields related to Control and Automation Engineering. These resources (involving techniques such as neural networks, fuzzy logic, expert systems and others) have become a key tool for those researchers and engineers who need powerful answers to a wide range of problems. The book series pretends to be a survey guide for those people, presenting them with practical examples of real cases where those techniques have been successfully applied. This way, it is hoped that researchers will find new ideas to apply in their own systems.

The focus of this book, then, lies in practical applications and real systems, where the combination of AI and Control and Automation Engineering techniques have been shown to be a powerful tool.

Some significant research on the application of these techniques has been included in this book. Allaoua and Mebarki describe the design of an intelligent controller for a DC motor drive using the Particle Swarm Optimization (PSO) method for create the optimal Proportional-Integral-Derivative (PID) controller alteration parameters.

Chetouane introduces the problem of controlling a wheel inverted pendulum (IWIP) system using fuzzy logic techniques. Fleurym Jammeh and Ghanbari introduce the control problem faced when designing a fuzzy logic congestion controller in terms of the restrictions of a compressed video bitstream and the uncertainties that affect congestion control. Ben Hamed Mouna and Sbita Lassaâd present the application of fuzzy logic and neural networks in motor drive systems, in particular, artificial neural network speed sensorless fuzzy control both in scalar and vector control of induction motors. The research by Mailah and Pitowarno concerns the application of a novel and robust intelligent Active Force Control (AFC) based strategy to control a differentially-driven wheeled Mobile Manipulator (MM) system with nonholonomic constraint.

Tirian describes a new control method, based on fuzzy logic, for avoiding cracks inside the crystallizing apparatus in continuous casting of steel. Yao et al. develop a demand-control system with an intelligent predictor to manage the electric facility online using Taguchi’s and rolling modeling methods of artificial neural networks. Finally, Espelosín et al. have developed an application for a dynamic matrix control algorithm: path tracking using predictive control.

As editors, we would like to thank these authors for their valuable contributions to the field of Control and Automation Engineering.

Evelio J. González, Leopoldo Acosta and Alberto F. Hamilton
University of La Laguna
Spain

List of Contributors

Editor(s):
Evelio J. González
University of La Laguna
Spain




Co-Editor(s):
Leopoldo Acosta Sánchez
University of La Laguna
Spain


Alberto F. Hamilton Castro
University of La Laguna
Spain




Contributor(s):
L. ACOSTA
Dep. de Ingeniería de Sistemas y Automática y Arquitectura y Tecnología de Computadores
Universidad de La Laguna. Avd. Francisco Sánchez S/N La Laguna
CP, 38206
Spain


B. ALLAOUA
Faculty of the Sciences and the Technology, Department of the Technology
Bechar University, B.P 417
BECHAR
08000
Algeria


A. BAGDASARYAN
Russian Academy of Sciences
Trapeznikov Institute for Control Sciences, 65 Profsoyuznaya
Moscow, 117997
Russia


M. BEN HAMED
High Institute of Industrial Systems of Gabès, University of Gabès
Tunisia


F. CHETOUANE
Electrical and Industrial Engineering Department
Université de Moncton
New Brunswick, E1A3E9
Canada


J. ESPELOSÍN
Dep. de Ingeniería de Sistemas y Automática y Arquitectura y Tecnología de Computadores
Universidad de La Laguna
Avd. Francisco Sánchez S/N La Laguna
CP, 38206
Spain


M. FLEURY
University of Essex, School of Computer Science and Electronic Engineering, Multimedia Network Laboratory
Colchester, CO4 3SQ
UK


M. GHANBARI
University of Essex, School of Computer Science and Electronic Engineering, Multimedia Network Laboratory
Colchester, CO4 3SQ
UK


E.J. GONZÁLEZ
Dep. de Ingeniería de Sistemas y Automática y Arquitectura y Tecnología de Computadores
Universidad de La Laguna. Avd. Francisco Sánchez S/N La Laguna
CP, 38206
Spain


A. HAMILTON
Dep. de Ingeniería de Sistemas y Automática y Arquitectura y Tecnología de Computadores
Universidad de La Laguna. Avd. Francisco Sánchez S/N La Laguna
CP, 38206
Spain


E.A. JAMMEH
Multimedia Network Laboratory
University of Essex, School of Computer Science and Electronic Engineering
Colchester, CO4 3SQ
UK


H.T. LIAO
Ming Hsing University of Science and Technology
Taiwan


C.Y. LIU
Southern Taiwan University, .
Taiwan


M. MAILAH
Department of System Dynamics and Control, Faculty of Mechanical Engineering
Universiti Teknologi Malaysia, Skudai
Johor, 81310
Malaysia


B. MEBARKI.
Faculty of the Sciences and the Technology, Department of the Technology, Bechar University,
Universiti Teknologi Malaysia, Skudai
B.P 417 BECHAR
Algeria


A. NOSHADI
Department of System Dynamics and Control, Faculty of Mechanical Engineering
Universiti Teknologi Malaysia, Skudai
Johor, 81310
Malaysia


E. PITOWARNO
Electronic Engineering Polytechnic Institute of Surabaya, ITS Sukolilo
Surabaya , 60111
Indonesia


L. SBITA
Engineering School of Gabès (ENIG)
University of Gabès
Tunisia


J.H. SUN
National Kaohsiung First University of Science and Technology
Taiwan


G.O. TIRIAN
“Politehnica” University of Timisoara, Faculty of Engineering Hunedoara
Romania


J. TOLEDO
Dep. de Ingeniería de Sistemas y Automática y Arquitectura y Tecnología de Computadores
Universidad de La Laguna
Avd. Francisco Sánchez S/N La Laguna
CP, 38206
Spain


A.W.L. YAO
National Kaohsiung First University of Science and Technology
Taiwan


C.T. YIN
Machine & Tool Co. Ltd.
Taiwan




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