July 20, 2012
DUBLIN, July 20--Research and Markets has announced the addition of Elsevier Science and Technology's new report "Control System Design Guide. Edition No. 4" to their offering.
Control Systems Design Guide has helped thousands of engineers to improve machine performance. This fourth edition of the practical guide has been updated with cutting-edge control design scenarios, models and simulations enabling apps from battlebots to solar collectors.
This useful reference enhances coverage of practical applications via the inclusion of new control system models, troubleshooting tips, and expanded coverage of complex systems requirements, such as increased speed, precision and remote capabilities, bridging the gap between the complex, math-heavy control theory taught in formal courses, and the efficient implementation required in real industry settings
- Explains how to model machines and processes, including how to measure working equipment, with an intuitive approach that avoids complex math
- Includes coverage on the interface between control systems and digital processors, reflecting the reality that most motion systems are now designed with PC software
- Of particular interest to the practicing engineer is the addition of new material on real-time, remote and networked control systems
- Teaches how control systems work at an intuitive level, including how to measure, model, and diagnose problems, all without the unnecessary math so common in this field
- Principles are taught in plain language and then demonstrated with dozens of software models so the reader fully comprehend the material (The models and software to replicate all material in the book is provided without charge by the author at www.QxDesign.com)
- New material includes practical uses of Rapid Control Prototypes (RCP) including extensive examples using National Instruments LabVIEW
Key Topics Covered:
Preface and Acknowledgments Important Safety Guidelines for Readers
Chapter 1. Introduction to Controls
Chapter 2. The Frequency Domain
Chapter 3. Tuning a Control System
Chapter 4. Delay in Digital Controllers
Chapter 5. The z-Domain
Chapter 6. Six Types of Controllers
Chapter 7. Disturbance Response
Chapter 8. Feed-Forward
Chapter 9. Filters in Control Systems
Chapter 10. Introduction to Observers in Control Systems
Chapter 11. Introduction to Modeling
Chapter 12. Nonlinear Behavior and Time Variation
Chapter 13. Model Development and Verification
Chapter 14. Encoders and Resolvers
Chapter 15. Basics of the Electric Servomotor and Drive
Chapter 16. Compliance and Resonance
Chapter 17. Position-Control Loops
Chapter 18. Using the Luenberger Observer in Motion Control
Chapter 19. Rapid Control Prototyping (RCP) for a Motion System
For more information visit http://www.researchandmarkets.com/research/84bvhd/control_system_des
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Source: Elsevier Science and Technology
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