A Practical Guide To order this title, and for more information, click here
By George Ellis, Danaher Motion Systems, Radford, VA
Description 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.
Contents Acknowledgements
Safety
Chapter 1 Control Systems and the Role of Observers
1.1 Overview
1.2 Preview of Observers
1.3 Summary of the
Book
Chapter 2 Control-System Background
2.1 Control-System Structures
2.2 Goals of Control Systems
2.3 Visual ModelQ Simulation
Environment
2.4 Software Experiments: Introduction to Visual ModelQ
2.5 Exercises
Chapter 3 Review of the Frequency Domain
3.1 Overview
of the s-Domain
3.2 Overview of the z-Domain
3.3 The Open-Loop Method
3.4 A Zone-Based Tuning Procedure
3.5 Exercises
Chapter 4
The Luenberger Observer: Correcting Sensor Problems
4.1 What Is a Luenberger Observer?
4.2 Experiments 4A-4C: Enhancing Stability with
an Observer
4.3 Predictor-Corrector Form of the Luenberger Observer
4.4 Filer Form of the Luenberger Observer
4.5 Designing a Luenberger
Observer
4.6 Introduction to Tuning an Observer Compensator
4.7 Exercises
Chapter 5 The Luenberger Observer and Model Inaccuracy
5.1 Model Inaccuracy
5.2 Effects of Model Inaccuracy
5.3 Experimental Evaluation
5.4 Exercises
Chapter 6 The Luenberger Observer
and Disturbances 1
6.1 Disturbances
6.2 Disturbance Response
6.3 Disturbance Decoupling
6.4 Exercises
Chapter 7 Noise in the Luenberger
Observer
7.1 Noise in Control Systems
7.2 Sensor Noise and the Luenberger Observer
7.3 Noise Sensitivity when Using Disturbance Decoupling
7.4 Reducing Noise Susceptibility in Observer-Based Systems
7.5 Exercises
Chapter 8 Using the Luenberger Observer in Motion Control
8.1 The Luenberger Observers in Motion Systems
8.2 Observing Velocity to Reduce Phase Lag
8.3 Using Observers to Improve Disturbance
Response
8.4 Exercises
References
Appendix A Observer-Based Resolver Conversion in Industrial Servo Systems
Introduction
Resolvers
and Traditional RDC
Converting the Signal
Observers
Applying the Observer to RDC
Advantages of Observer-Based Conversion
Conclusion
References
Appendix B Cures for Mechanical Resonance in Industrial Servo Systems
Introduction
Two-Part Transfer Function
Low-Frequency
Resonance
Velocity Control Law
Methods of Correction Applied to Low-Frequency Resonance
Conclusion
Acknowledgements
References
Appendix C European Symbols for Block Diagrams
Part I: Linear Functions
Part II: Nonlinear Functions
Appendix D Development of the
Bilinear Transformation
Bilinear Transformation
Prewarping
Factoring Polynomials
Phase Advancing
Appendix E Solutions of Exercises
Index
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