Showing posts with label Matlab. Show all posts
Showing posts with label Matlab. Show all posts
Linear Feedback Control Analysis and Design with Matlab By Dingy¨u Xue, YangQuan Chen, Derek P. Atherton
It is well known that the benefits from control engineering are numerous including the improved product/life quality, minimized waste materials, reduced pollution, increased safety and reduced energy consumption etc. One can observe that the notion of feedback and control plays an important role in most socio-technological aspects. A slogan, “Control Will Be the Physics of the 21st Century”, appeared in a plenary session of the 40th IEEE International Conference on Decision and Control (Dec. 2001, Orlando, FL., USA), suggests that at least all engineering students should take a first course on systems control.
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Low Power Design with High Level Power Estimation and Power Aware Synthesis By Sumit Ahuja and Avinash Lakshminarayana and Sandeep K. Shukla
Designing low-power computing hardware has always been a priority since the early 1990s. The famous graph drawn by Intel’s Shekhar Borkar is now imprinted in the minds of designers. It was realized that as the clock speed is scaled from mega hertz to giga hertz, the heat density on the surface of silicon chip would compare with that of rocket nozzles to the surface of the sun. Computing in today’s era has become pervasive in the form of handheld devices, smart phones, tablet computers, and most importantly bio implantable devices. Borker’s graph aptiy captures the need for reducing heat dissipation subsequently battery life conservation. The battery life of devices that are implanted inside one’s body must be sufficient to not require surgical substitution every few years. The wireless sensor network technology deployed for reconnaissance purposes by the military or for disaster management scenarios also brought in the requirement of long battery life despite the energy expensive communication functionalities.
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Circuit Analysis II with MATLAB® Applications By Steven T arris
This text is written for use in a second course in circuit analysis. The reader of this book should have the traditional undergraduate knowledge of an introductory circuit analysis material such as Circuit Analysis I with MATLAB® Applications by this author. Another prerequisite would be knowledge of differential equations, and in most cases, engineering students at this level have taken all required mathematics courses. It encompasses a spectrum of subjects ranging from the most abstract to the most practical, and the material can be covered in one semester or two quarters. Appendix B serves as a review of differential equations with emphasis on engineering related topics and it is recommended for readers who may need a review of this subject.
There are several textbooks on the subject that have been used for years. The material of this book is not new, and this author claims no originality of its content. This book was written to fit the needs of the average student. Moreover, it is not restricted to computer oriented circuit analysis. While it is true that there is a great demand for electrical and computer engineers, especially in the internet field, the demand also exists for power engineers to work in electric utility companies, and facility engineers to work in the industrial areas.
Chapter 1 is an introduction to second order circuits and it is essentially a sequel to first order circuits that were discussed in the last chapter of as Circuit Analysis I with MATLAB® Applications. Chapter 2 is devoted to resonance, and Chapter 3 presents practical methods of expressing signals in terms of the elementary functions, i.e., unit step, unit ramp, and unit impulse functions. Thus, any signal can be represented in the compex frequency domain using the Laplace transformation.
Chapters 4 and 5 are introductions to the unilateral Laplace transform and Inverse Laplace transform respectively, while Chapter 6 presents several examples of analyzing electric circuits using Laplace transformation methods. Chapter 7 begins with the frequency response concept and Bode magnitude and frequency plots. Chapter 8 is devoted to transformers with an introduction to self and mutual inductances. Chapter 9 is an introduction to one- and two-terminal devices and presents several practical examples. Chapter 10 is an introduction to three-phase circuits.
It is not necessary that the reader has previous knowledge of MATLAB®. The material of this text can be learned without MATLAB. However, this author highly recommends that the reader studies this material in conjunction with the inexpensive MATLAB Student Version package that is available at most college and university bookstores. Appendix A of this text provides a practical introduction to MATLAB. As shown on the front cover of this text the magnitude and phase plots can be easily obtained with a one line MATLAB code. Moreover, MATLAB will be invaluable in later studies such as the design of analog and digital filters. As stated above, Appendix B is a review of differential equations. Appendix C is an introduction to matrices, Appendix D provides instructions on constructing semilog templates to be used with Bode plots, and Appendix E discusses scaling methods.
In addition to numerous real-world examples, this text contains several exercises at the end of each chapter. Detailed solutions of all exercises are provided at the end of each chapter. The rationale is to encourage the reader to solve all exercises and check his effort for correct solutions and appropriate steps in obtaining the correct solution. And since this text was written to serve as a self-study or supplementary textbook, it provides the reader with a resource to test his knowledge.
The author has accumulated many additional problems for homework assignment and these are available to those instructors who adopt this text either as primary or supplementary text, and prefer to assign problems without the solutions. He also has accumulated many sample exams.
The author is indebted to the class of the Spring semester of 2001 at San Jose State University, San Jose, California, for providing several of the examples and exercises of this text.
Like any other new book, this text may contain some grammar and typographical errors. Accordingly, all feedback for errors, advice, and comments will be most welcomed and greatly appreciated.
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Switch Mode Power Supply Simulation By Steven M Sandler
Two of the things that have not changed are the desire for better
models and faster simulations. I performed the original simulations on
my “hyperfast” 133-MHz computer! At the time, I thought if I could just
get a faster computer, all of our SPICE problems would be history, right?
Today I am simulating on a computer that has a 2.6-GHz processor with
512 MB of RAM, and I would still say that simulations run too slow.
The computer technology has evolved, but so have the models. In 1996
we were performing simulations on 100-kHz power converters, whereas
today I routinely see 1- and 2-MHz power converters.
Another thing that has not changed is that I still routinely receive
comments such as “We don’t have time to simulate” or “Simulation
results don’t provide accurate answers.”
There have also been many changes since the earlier version of this
book. Design cycle times have been reduced, while performance requirements
have generally become more difficult. The monolithic devices of
today incorporate much more technology with many more functions and
features than the devices of 1996. It is for these reasons that I would
argue that we must use SPICE or some other simulation tool to the
fullest extent possible.
Another change since the predecessor volume was published is that
many component manufacturers have jumped on the SPICE bandwagon.
Many semiconductor manufacturers publish SPICE models of
their devices, as do capacitor manufacturers and inductor manufacturers.
Many integrated circuit manufacturers publish SPICE models and
some even offer Internet-based simulation tools with preset templates
for their devices. Device models have generally improved in accuracy,
but beware: There are still plenty of poor models being published.
In order to keep this book as useful as possible, several changes were
made to the earlier version. I updated some of the example circuits to reflect the higher level of technology and added actual measurement
results for many of the example circuits. This shows the correlation
that is possible and hopefully proves once and for all that SPICE will
provide very accurate results if you start with an accurate model.
The linear regulator chapter has been expanded. As simple and “low
tech” as these devices appear to be, I still see many design issues involving
these devices. Hopefully, this additional information will improve
the understanding of how these devices operate and the issues that
surround them.
A chapter has been added on active power factor correction (PFC),
because it has become a much more widely used technology.
I hope that you will find the updates useful and wish you happy
simulating.
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Fundamentals of Power Electronics with Matlab By Randall Shaffer
The CD-ROM that accompanies the book may be used on a single Computer only.The license does not permit the use on a network (of ana kind).You further agree that this license grants permission to use the products contained herein,but does not give you right of ownership to any of the content or product contained on this CD-ROM.Use of third Party software contained on this CD-ROM is limited to and subject to licensing terms for the respective products.
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Linear Control Systems Analysis And Design with Matlab By John J. D’Azzo and Constantine H. Houpis
Many textbooks have been written on control engineering, describing new techniques for controlling systems, or new and better ways of mathematically formulating existing methods to solve the ever-increasing complex problems faced by practicing engineers. However, few of these books fully address the applications aspects of control engineering. It is the intention of this new series to redress this situation.
The series will stress applications issues, and not just the mathematics of control engineering. It will provide texts that present not only both new and well-established techniques, but also detailed examples of the application of these methods to the solution of real-world problems.The authors will be drawn from both the academic world and the relevant applications sectors.
There are already many exciting examples of the application of control techniques in the established fields of electrical, mechanical (including aerospace), and chemical engineering.We have only to look around in today’s highly automated society to see the use of advanced robotics techniques in the manufacturing industries; the use of automated control and navigation systems in air and surface transport systems; the increasing use of intelligent control systems in the many artifacts available to the domestic consumer market; and the reliable supply of water, gas, and electrical power to the domestic consumer and to industry. However, there are currently many challenging problems that could benefit from wider exposure to the applicability of control methodologies, and the systematic systems-oriented basis inherent in the application of control techniques.
This series presents books that draw on expertise from both the academic world and the applications domains, and will be useful not only as academically recommended course texts but also as handbooks for practitioners in many applications domains. Linear Control System Analysis and Design with MATLAB is another outstanding entry in Dekker’s Control Engineering series.
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Micromechatronics Modeling,Analysis,and Design with Matlab By Giurgiutiu Victor
This book reports and covers comprehensive, consistent, and coherent studies on mechatronic and electromechanical systems. We have strived to address, deliver, and cover a spectrum of major opportunities and challenges in electromechanics, mechatronics, and electromechanical systems. We span transformative educational and research activities focused on application and utilization of recent developments in engineering science (mechanics, electromagnetics, control, electronics, and other disciplines), enabling hardware (motion devices, power electronics, microelectronics, etc.), advanced technologies (micromachining, materials, etc.), and software.
It is unlikely that one can imagine a prosperous life without electric energy and electromechanical systems. Electricity is produced by power plants and energy systems perform energy conversion. For example, synchronous generators convert the mechanical energy of various origins into electrical energy. Piezoelectric materials and devices convert mechanical energy into electrical energy. Power plants, piezoelectric devices, and other systems can be referred to as electromechanical or mechatronic systems. We use thousands of highperformance mechatronic systems every day. There are hundreds of electromechanical motion devices in each passenger car. There are numerous mechatronic systems in household appliances such as consumer electronics, computers, sound systems, fans, etc. In a stand-alone computer hard drive, there are two electromechanical systems, in particular, an electric drive with a radial-topology permanent-magnet synchronous motor and a limited-angle axial-topology actuator to properly position a magnetic head. There are many electromechanical motion devices in a CD=DVD player and computer DVD-RW drives, for example, spinning drives, repositioning servo, loading servo, etc.
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Linear Feedback Control Analysis And Design With Matlab By Dingyu Xue YangQuan Chen Derek P Atherton
It is well known that the benefits from the wise use of control engineering are numerous and include improved product/life quality, minimized waste materials, reduced pollution, increased safety, reduced energy consumption etc. One can observe that the notions of feedback and control play important roles in most sociotechnological aspects. The phrase “control will be the physics of the 21st century”1 implies that all engineering students should take an introductory course on systems control.
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Designing With Solar Power By Deo Prasad
PhOiovoltalc IPV) power's potcnual for wide distribution makes It a unique and novel energy source that can be embedded within Ihe fabric of individual buildings. while shifting power generatiOn away from being large.scale and regionally located As a consequence, .:I free. cJean and silent electrical supply can be introduced into cities, lowns and bulll'up areas
Bulldlng·lntegrmed ph01ovollillcs rBIPVJ Involves combIning solar ptlotQvollatc electrlchy technologies with those of building construction. This subject Is of grein imerest 10 those In the fields of energy conscrv,llion and building design Ie; significance. however, e<anno! be underestimated In the COntext of Ihc more familiar notion of sustainable development The concept of sustalnability Is more relevant than ever: it Is a dynamic process that enables <III people to realise their potential. and Improve their quallt}' of life In ways which simultaneously protect and enhance the EMth's life,support systems SiP\' addresses these essential aspects
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Robust Control Design with Matlab By Da Wei Gu
The topics of control engineering and signal processing continue to flourish and develop. In common with general scientific investigation, new ideas, concepts and interpretations emerge quite spontaneously and these are then discussed, used, discarded or subsumed into the prevailing subject paradigm. Sometimes these innovative concepts coalesce into a new sub-discipline within the broad subject tapestry of control and signal processing. This preliminary battle between old and new usually takes place at conferences, through the Internet and in the journals of the discipline. After a little more maturity has been acquired by the new concepts then archival publication as a scientific or engineering monograph may occur.
A new concept in control and signal processing is known to have arrived when sufficient material has evolved for the topic to be taught as a specialised tutorial workshop or as a course to undergraduate, graduate or industrial engineers. Advanced Textbooks in Control and Signal Processing are designed as a vehicle for the systematic presentation of course material for both popular and innovative topics in the discipline. It is hoped that prospective authors will welcome the opportunity to publish a structured and systematic presentation of some of the newer emerging control and signal processing technologies in the textbook series.
It is always interesting to look back at how a particular field of control systems theory developed. The impetus for change and realization that a new era in a subject is dawning always seems to be associated with short, sharp papers that make the academic community think again about the prevalent theoretical paradigm. In the case of the evolution of robust control theory, the conference papers of Zames (circa. 1980) on robustness and the very short paper of Doyle on the robustness of linear quadratic Gaussian control systems seem to stand as landmarks intimating that control theory was going to change direction again. And the change did come; all through the 1980s came a steady stream of papers rewriting control theory, introducing system uncertainty, Hf robust control and µ- synthesis as part of a new control paradigm.
Change, however did not come easily to the industrial applications community because the new theories and methods were highly mathematical. In the early stages even the classical feedback diagram which so often opened control engineering courses was replaced by a less intuitively obvious diagram. Also it was difficult to see the benefits to be gained from the new development. Throughout the 1990s the robust control theory and methods consolidated and the first major textbooks and software toolboxes began to appear. Experience with some widely disseminated benchmark problems such as control design for distillation columns, the control design for hard-disk drives, and the invertedpendulum control problem helped the industrial community see how to apply the new method and the control benefits that accrued.
This advanced course textbook on robust control system design using MATLAB® by Da-Wei Gu, Petko Petkov and Mihail Konstantinov has arrived at a very opportune time. More than twenty years of academic activity in the robust control field forms the bedrock on which this course book and its set of insightful applications examples are developed. Part I of the volume presents the theory – a systematic presentation of: systems notation, uncertainty modelling, robust design specification, the Hf design method, Hf loop shaping, µ-analysis and synthesis and finally the algorithms for providing the low-order controllers that will be implemented. This is a valuable and concise presentation of all the necessary theoretical concepts prior to their application which is covered in Part II.
Inspired by the adage “practice makes perfect”, Part II of the volume comprises six fully worked-out extended examples. To learn how to apply the complex method of Hf design and µ-synthesis there can be no surer route than to work through a set of carefully scripted examples. In this volume, the examples range from the academic mass-damper-spring system through to the industrially relevant control of a distillation column and a flexible manipulator system. The benchmark example of the ubiquitous hard-disk drive control system is also among the examples described. The MATLAB® tools of the Robust Control Toolbox, the Control System Toolbox and Simulink® are used in these application examples. The CD-ROM contains all the necessary files and instructions together with a pdf containing colour reproductions of many of the figures in the book.
In summary, after academic development of twenty years or so, the robust control paradigm is now fully fledged and forms a vital component of advanced control engineering courses. This new volume in our series of advanced control and signal processing course textbooks on applying the methods of Hf and µ- synthesis control design will be welcomed by postgraduate students, lecturers and industrial control engineers alike.
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Radar Systems Analysis And Design Using Matlab By Bassem R Mahafza
Numerous books have been written on Radar Systems and Radar Applications. A limited set of these books provides companion software. There is need for a comprehensive reference book that can provide the reader with hands-on-like experience. The ideal radar book, in my opinion, should serve as a conclusive, detailed, and useful reference for working engineers as well as a textbook for students learning radar systems analysis and design. This book must assume few prerequisites and must stand on its own as a complete presentation of the subject. Examples and exercise problems must be included. User friendly software that demonstrates the theory needs to be included. This software should be reconfigurable to allow different users to vary the inputs in order to better analyze their relevant and unique requirements, and enhance understanding of the subject.
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Modern Control Design With Matlab and Simulink By Ashish Tewari
The motivation for writing this book can be ascribed chiefly to the usual struggle of an average reader to understand and utilize controls concepts, without getting lost in the mathematics. Many textbooks are available on modern control, which do a fine job of presenting the control theory. However, an introductory text on modern control usually stops short of the really useful concepts - such as optimal control and Kalman filters - while an advanced text which covers these topics assumes too much mathematical background of the reader. Furthermore, the examples and exercises contained in many control theory textbooks are too simple to represent modern control applications, because of the computational complexity involved in solving practical problems. This book aims at introducing the reader to the basic concepts and applications of modern control theory in an easy to read manner, while covering in detail what may be normally considered advanced topics, such as multivariable state-space design, solutions to time-varying and nonlinear state-equations, optimal control, Kalman filters, robust control, and digital control. An effort is made to explain the underlying principles behind many controls concepts. The numerical examples and exercises are chosen to represent practical problems in modern control. Perhaps the greatest distinguishing feature of this book is the ready and extensive use of MATLAB (with its Control System Toolbox) and SIMULINK®, as practical computational tools to solve problems across the spectrum of modern control. MATLAB/SIMULINK combination has become the single most common - and industry-wide standard - software in the analysis and design of modern control systems. In giving the reader a hands-on experience with the MATLAB/SIMULINK and the Control System Toolbox as applied to some practical design problems, the book is useful for a practicing engineer, apart from being an introductory text for the beginner.
This book can be used as a textbook in an introductory course on control systems at the third, or fourth year undergraduate level. As stated above, another objective of the book is to make it readable by a practicing engineer without a formal controls background. Many modern control applications are interdisciplinary in nature, and people from a variety of disciplines are interested in applying control theory to solve practical problems in their own respective fields. Bearing this in mind, the examples and exercises are taken to cover as many different areas as possible, such as aerospace, chemical, electrical and mechanical applications. Continuity in reading is preserved, without frequently referring to an appendix, or other distractions. At the end of each chapter, readers are given a number of exercises, in order to consolidate their grasp of the material presented in the chapter. Answers to selected numerical exercises are provided near the end of the book.
While the main focus of the material presented in the book is on the state-space methods applied to linear, time-invariant control - which forms a majority of modern control applications - the classical frequency domain control design and analysis is not neglected, and large parts of Chapters 2 and 8 cover classical control. Most of the example problems are solved with MATLAB/SIMULINK, using MATLAB command lines, and SIMULINK block-diagrams immediately followed by their resulting outputs. The reader can directly reproduce the MATLAB statements and SIMULINK blocks presented in the text to obtain the same results. Also presented are a number of computer programs in the form of new MATLAB M-files (i.e. the M-files which are not included with MATLAB, or the Control System Toolbox) to solve a variety of problems ranging from step and impulse responses of single-input, single-output systems, to the solution of the matrix Riccati equation for the terminal-time weighted, multivariable, optimal control design. This is perhaps the only available controls textbook which gives ready computer programs to solve such a wide range of problems. The reader becomes aware of the power of MATLAB/SIMULINK in going through the examples presented in the book, and gets a good exposure to programming in MATLAB/SIMULINK. The numerical examples presented require MATLAB 6.0, SIMULINK 4.0, and Control System Toolbox 5.0. Older versions of this software can also be adapted to run the examples and models presented in the book, with some modifications (refer to the respective Users' Manuals).
The numerical examples in the book through MATLAB/SIMULINK and the Control System Toolbox have been designed to prevent the use of the software as a black box, or by rote. The theoretical background and numerical techniques behind the software commands are explained in the text, so that readers can write their own programs in MATLAB, or another language. Many of the examples contain instructions on programming. It is also explained how many of the important Control System Toolbox commands can be replaced by a set of intrinsic MATLAB commands. This is to avoid over-dependence on a particular version of the Control System Toolbox, which is frequently updated with new features. After going through the book, readers are better equipped to learn the advanced features of the software for design applications.
Readers are introduced to advanced topics such as HOC-robust optimal control, structured singular value synthesis, input shaping, rate-weighted optimal control, and nonlinear control in the final chapter of the book. Since the book is intended to be of introductory rather than exhaustive nature, the reader is referred to other articles that cover these advanced topics in detail.
I am grateful to the editorial and production staff at the Wiley college group, Chichester, who diligently worked with many aspects of the book. I would like to specially thank Karen Mossman, Gemma Quilter, Simon Plumtree, Robert Hambrook, Dawn Booth and See Hanson for their encouragement and guidance in the preparation of the manuscript. I found working with Wiley, Chichester, a pleasant experience, and an education into the many aspects of writing and publishing a textbook. I would also like to thank my students and colleagues, who encouraged and inspired me to write this book. I thank all the reviewers for finding the errors in the draft manuscript, and for providing many constructive suggestions. Writing this book would have been impossible without the constant support of my wife, Prachi, and my little daughter, Manya, whose total age in months closely followed the number of chapters as they were being written.
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Automatic Control of Atmosperic And Space Flight Vehicles By Ashish Tewari
The main purpose of writing this book is to present a unified approach for automatic control of atmospheric and space flight vehicles. Such an outlook has become more necessary now than ever, with the advent of aerospace vehicles whose single mission covers operation as aircraft, rocket, and spacecraft at various instants. The automatic control system for such a craft must therefore have the entire gamut of flight control techniques in its repertoire.
This book is primarily designed as a textbook for senior undergraduates as well as graduate students in aerospace engineering/aeronautics and astronautics departments. As an acquaintance with control theory is not necessary, the book can be used as a first course in flight control systems. However, a familiarity with the basic mathematical concepts of calculus, linear algebra, and Laplace transform is required. The contents have evolved from the lecture notes of several 3rd–4th year undergraduate, and graduate-level courses I have taught in my career. The material in the book has been especially selected to be useful in modern courses on flight control systems, where the artificial distinctions among aircraft, rockets, and spacecraft are removed. Suggestions for the usage of the material by course instructors is given later. The chapters and sections are designed to follow in a sequence such that their concepts evolve logically, and are introduced in an easy-toread manner, while retaining mathematical rigor.
It is easy for a reader to be lost in the theorems and proofs commonly found in textbooks on control systems, without realizing their practical significance. For this reason, the basic control theory concepts are covered in a manner accessible to a beginner in the topic. At the same time, understanding of relevant flight dynamic principles is highlighted while designing a flight control system. More emphasis is placed on realistic examples and exercises that require some programming, rather than those of the analytical type.
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