Download MATLAB for Engineers by Karel Perutka

MATLAB for Engineers by Karel Perutka pdf

MATLAB for Engineers – The book presents several approaches in the key areas of practice for which the MATLAB software package was used. Topics covered include applications for: Motors, Power systems , Robots, Vehicles. The rapid development of technology impacts all areas. Authors of the book chapters, who are experts in their field, present interesting solutions of their work.

The book will familiarize the readers with the solutions and enable the readers to enlarge them by their own research. It will be of great interest to control and electrical engineers and students in the fields of research the book covers.

Contents – MATLAB for Engineers


Preface IX
Part 1 Theory 1
Chapter 1 Implementation of a New Quasi-Optimal Controller
Tuning Algorithm for Time-Delay Systems 3
Libor Pekař and Roman Prokop
Chapter 2 Control of Distributed Parameter Systems – Engineering
Methods and Software Support in the MATLAB &
Simulink Programming Environment 27
Gabriel Hulkó, Cyril Belavý, Gergely Takács,
Pavol Buček and Peter Zajíček
Chapter 3 Numerical Inverse Laplace Transforms for
Electrical Engineering Simulation 51
Lubomír Brančík
Chapter 4 Linear Variable Differential Transformer
Design and Verification Using MATLAB
and Finite Element Analysis 75
Lutfi Al-Sharif, Mohammad Kilani, Sinan Taifour,
Abdullah Jamal Issa, Eyas Al-Qaisi, Fadi Awni Eleiwi
and Omar Nabil Kamal
Part 2 Hardware and Photonics Applications 95
Chapter 5 Computational Models Designed in MATLAB to
Improve Parameters and Cost of Modern Chips 97
Peter Malík MATLAB for Engineers by Karel Perutka
Chapter 6 Results Processing in MATLAB for
Photonics Applications 119
I.V. Guryev, I.A. Sukhoivanov, N.S. Gurieva,
J.A. Andrade Lucio and O. Ibarra-Manzano

Part 3 Power Systems Applications 153
Chapter 7 MATLAB Co-Simulation Tools for
Power Supply Systems Design 155
Valeria Boscaino and Giuseppe Capponi
Chapter 8 High Accuracy Modelling of Hybrid Power Supplies 189
Valeria Boscaino and Giuseppe Capponi
Chapter 9 Calculating Radiation from Power Lines for
Power Line Communications 223
Cornelis Jan Kikkert MATLAB for Engineers by Karel Perutka
Chapter 10 Automatic Modelling Approach for Power Electronics
Converters: Code Generation (C S Function, Modelica,
VHDL-AMS) and MATLAB/Simulink Simulation 247
Asma Merdassi, Laurent Gerbaud and Seddik Bacha
Chapter 11 PV Curves for Steady-State Security
Assessment with MATLAB 267
Ricardo Vargas, M.A Arjona and Manuel Carrillo
Chapter 12 Application of Modern Optimal Control in
Power System: Damping Detrimental
Sub-Synchronous Oscillations 301
Iman Mohammad Hoseiny Naveh and Javad Sadeh
Chapter 13 A New Approach of Control System
Design for LLC Resonant Converter 321
Peter Drgoňa, Michal Frivaldský and Anna Simonová
Part 4 Motor Applications 339
Chapter 14 Wavelet Fault Diagnosis of Induction Motor 341
Khalaf Salloum Gaeid and Hew Wooi Ping
Chapter 15 Implementation of Induction Motor Drive Control
Schemes in MATLAB/Simulink/dSPACE Environment
for Educational Purpose 365
Christophe Versèle, Olivier Deblecker and Jacques Lobry

Chapter 16 Linearization of Permanent Magnet Synchronous
Motor Using MATLAB and Simulink 387
A. K. Parvathy and R. Devanathan
Part 5 Vehicle Applications 407
Chapter 17 Automatic Guided Vehicle Simulation
in MATLAB by Using Genetic Algorithm 409
Anibal Azevedo MATLAB for Engineers by Karel Perutka

Chapter 18 Robust Control of Active Vehicle Suspension Systems Using Sliding Modes and Differential Flatness with MATLAB 425 Esteban Chávez Conde, Francisco Beltrán Carbajal, Antonio Valderrábano González and Ramón Chávez Bracamontes Chapter 19 Thermal Behavior of IGBT Module for EV (Electric Vehicle) 443 Mohamed Amine Fakhfakh, Moez Ayadi, Ibrahim Ben Salah and Rafik Neji Part 6 Robot Applications 457 Chapter 20 Design and Simulation of Legged Walking Robots in MATLAB® Environment 459 Conghui Liang, Marco Ceccarelli and Giuseppe Carbone Chapter 21 Modeling, Simulation and Control of a Power Assist Robot for Manipulating Objects Based on Operator’s Weight Perception 493 S. M. Mizanoor Rahman, Ryojun Ikeura and Haoyong Yu

Preface – MATLAB for Engineers

MATLAB is a powerful software package developed by the MathWorks, Inc., the multi-national corporation with the company’s headquarters in Natick, Massachusetts, United States of America. The software is a member of the family of the mathematical computing software together with Maple, Mathematica, Mathcad etc. and it became the standard for simulations in academia and practice. It offers easy-to-understand programming language, sharing source code and toolboxes which solve the selected area from practice. The software is ideal for light scientific computing, data processing and math work. Its strength lies in toolboxes for Control and Electrical Engineering. This book presents interesting topics from the area of control theory, robotics, power systems, motors and vehicles, for which the MATLAB software was used. The book consists of six parts. First part of the book deals with control theory. It provides information about numerical inverse Laplace transform, control of time-delay systems and distributed parameters systems. There are two chapters only in the second part of the book. One is about the application of MATLAB for modern chips improvement, and the other one describes results of MATLAB usage for photonics applications. Next part of the book consists of chapters which have something in common with the power systems applications, for example two chapters are about power supply systems and one is about application of optimal control in power systems. This part is followed by the part about MATLAB applications used in fault diagnosis of induction motor, implementation of induction motor drive control and linearization of permanent magnet synchronous motors. The last but one part of the book provides the application for vehicles, namely the guided vehicle simulation, new configuration of machine, behavior of module for electric vehicle and control of vehicle suspension system. The last part deals with MATLAB usage in robotics, with the modeling, simulation and control of power assist robot and legged walking robot. This book provides practical examples of MATLAB usage from different areas of engineering and will be useful for students of Control Engineering or Electrical Engineering to find the necessary enlargement of their theoretical knowledge and several models on which theory can be verified. It helps with the future orientation to solve the practical problems. Finally, I would like to thank everybody who has contributed to this book. The results of your work are very interesting and inspiring, I am sure the book will find a lot of readers who will find the results very useful.

1. Introduction

Systems and models with dead time or aftereffect, also called hereditary, anisochronic or time-delay systems (TDS), belonging to the class of infinite dimensional systems have been largely studied during last decades due to their interesting and important theoretical and practical features. A wide spectrum of systems in natural sciences, economics, pure informatics etc., both real-life and theoretical, is affected by delays which can have various forms; to name just a few the reader is referred e.g. to (Górecki et al., 1989; Marshall et al., 1992; Kolmanovskii & Myshkis, 1999; Richard, 2003; Michiels & Niculescu, 2008; Pekař et al., 2009) and references herein. MATLAB for Engineers

Linear time-invariant dynamic systems with distributed or lumped delays (LTI-TDS) in a single-input single-output (SISO) case can be represented by a set of functional differential equations (Hale & Verduyn Lunel, 1993) or by the Laplace transfer function as a ratio of so-called quasipolynomials (El’sgol’ts & Norkin, 1973) in one complex variable s, rather than polynomials which are usual in system and control theory. Quasipolynomials are formed as linear combinations of products of s-powers and exponential terms. Hence, the Laplace transform of LTI-TDS is no longer rational and socalled meromorphic functions have to be introduced. A significant feature of LTI-TDS is (in contrast to undelayed systems ) its infinite spectrum and transfer function poles decide – except some cases of distributed delays, see e.g. (Loiseau, 2000) – about the asymptotic stability as in the case of polynomials. It is a well-known fact that delay can significantly deteriorate the quality of feedback control performance, namely stability and periodicity. MATLAB for Engineers

Therefore, design a suitable control law for such systems is a challenging task solved by various techniques and approaches; a plentiful enumeration of them can be found e.g. in (Richard, 2003). Every controller design naturally requires and presumes a controlled plant model in an appropriate form. A huge set of approaches uses the Laplace transfer function; however, it is inconvenient to utilize a ratio of quasipolynomials especially while natural requirements of internal (impulse-free modes) and asymptotic stability of the feedback loop and the feasibility and causality of the controller are to be fulfilled.

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