Observers in control systems : a practical guide

Observers are digital algorithms that combine sensor outputs with knowledge of the system to provide results superior to traditional structures, which rely wholly on sensors. Observers have been used in selected industries for years, but most books explain them with complex mathematics. This book us...

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Bibliographic Details
Main Author Ellis, George
Format Electronic eBook
LanguageEnglish
Published San Diego, CA : Academic Press, ©2002.
Subjects
Online AccessFull text
ISBN9780080513010
0080513018
012237472X
9780122374722
Physical Description1 online resource (xiv, 259 pages) : illustrations

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100 1 |a Ellis, George  |q (George H.)  |1 https://id.oclc.org/worldcat/entity/E39PCjB4WMCtMC64YJ4xCPjMxC 
245 1 0 |a Observers in control systems :  |b a practical guide /  |c George Ellis. 
260 |a San Diego, CA :  |b Academic Press,  |c ©2002. 
300 |a 1 online resource (xiv, 259 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
505 0 0 |g Ch. 1.  |t Control Systems and the Role of Observers --  |g Ch. 2.  |t Control-System Background --  |g Ch. 3.  |t Review of the Frequency Domain --  |g Ch. 4.  |t Luenberger Observer: Correcting Sensor Problems --  |g Ch. 5.  |t Luenberger Observer and Model Inaccuracy --  |g Ch. 6.  |t Luenberger Observer and Disturbances --  |g Ch. 7.  |t Noise in the Luenberger Observer --  |g Ch. 8.  |t Using the Luenberger Observer in Motion Control --  |g App. A.  |t Observer-Based Resolver Conversion in Industrial Servo Systems --  |g App. B.  |t Cures for Mechanical Resonance in Industrial Servo Systems --  |g App. C.  |t European Symbols for Block Diagrams --  |g App. D.  |t Development of the Bilinear Transformation --  |g App. E.  |t Solutions of Exercises. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a Observers are digital algorithms that combine sensor outputs with knowledge of the system to provide results superior to traditional structures, which rely wholly on sensors. Observers have been used in selected industries for years, but most books explain them with complex mathematics. This book uses intuitive discussion, software experiments, and supporting analysis to explain the advantages and disadvantages of observers. If you are working in controls and want to improve your control systems, observers could be the technology you need and this book will give you a clear, thorough explanation of how they work and how to use them. Control systems and devices have become the most essential part of nearly all mechanical systems, machines, devices and manufacturing systems throughout the world. Increasingly the efficiency of production, the reliability of output and increased energy savings are a direct result of the quality and deployment of the control system.^A modern and essential tool within the engineer's kit is the Observer which helps improve the performance and reduce the cost of these systems. George Ellis is the author of the highly successful Control System Design Guide (2nd Edition). Unlike most controls books, which are written by control theorists and academics, Ellis is a leading engineer, designer, author and lecturer working in industry directly with the users of industrial motion control systems. Observers in Control Systems is written for all professional engineers and is designed to be utilized without an in-depth background in control theory. This is a "real-world" book which will demonstrate how observers work and how they can improve your control system. It also shows how observers operate when conditions are not ideal and teaches the reader how to quickly tune an observer in a working system.^Software Available on line: A free updated and enhanced version of the author's popular Visual ModelQ allows the reader to practice the concepts with Visual ModelQ models on a PC. Based on a virtual laboratory, all key topics are demonstrated with more than twenty control system models. The models are written in Visual ModelQ, and are available on the Internet to every reader with a PC. * Teaches observers and Kalman filters from an intuitive perspective * Explains how to reduce control system susceptibility to noise * Shows how to design an adaptive controller based on estimating parameter variation using observers Shows how to improve a control system's ability to reject disturbances * Key topics are demonstrated with PC-based models of control systems. The models are written in both MatLab and ModelQ; models are available free of charge 
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