Process Control: Engineering Analyses and Best Practices

by Steve S. Niu, Deyun Xiao

Overview

Process Control details the core knowledge and practical skills that a successful process control practitioner needs. It explains the essential technologies that are in use in current industrial practice or which may be wanting for the future. The book focuses on practical considerations, not only on those that make a control solution work, but also on those that prevent it from failing, especially for complex control loops and plant-wide control solutions.

After discussing the indispensable role of control in modern process industries, the authors concentrate on the skills required for process analysis, control design, and troubleshooting. One of the first books to provide a systematic approach and structured methodology for process analysis and control design, Process Control illustrates that methodology with many practical examples that cover process control, equipment control, and control calculations derived from real projects and applications. The book uses 229 drawings and 83 tables to make the concepts it presents more intuitive and its methodology easy to follow.

Process Control will help the practising control engineer to benefit from a wealth of practical experience and good ideas on how to make control work in the real world and students training to take up roles in process control are shown the applied relevance of control theory in the efficient functioning of industrial plant and the considerations needed to make it work.

Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Product Details

ISBN-13:	9783030970697
Publisher:	Springer International Publishing
Publication date:	08/02/2022
Series:	Advances in Industrial Control
Edition description:	1st ed. 2022
Pages:	501
Product dimensions:	6.10(w) x 9.25(h) x (d)

About the Author

Steve Niu received his B.Sc. from Tsinghua University of China, and his Ph.D. from the University of Alberta in Canada, both in Process Control. His 10-year academic research and 25-year industrial experience cover almost all aspects of process control, from research, development, to applications; from project management, product management, to project execution; Throughout his career, Steve has designed and implemented hundreds of control solutions in base-layer control, integrated compressor control, advanced process control, real-time optimization for upstream production, refining, petrochemical, chemical, and pulp & paper processes. The projects range from small control improvement projects to multi-billion-dollar mega-projects. Dr. Niu's main research interests are in process identification and advanced control.

Deyun Xiao is a professor at the Department of Automation, Tsinghua University. He is mainly engaged in teaching and scientific research in modeling and identification, fault diagnosis and safety evaluation, multi-sensor information fusion, process control system, and CIMS (Computer Integrated Manufacturing System) for continuous process industries. He has authored several books in Chinese including the popular textbook system identification - theory and practice, and translated several process control books to Chinese including F.G.Shinskey's Process control Systems - Application Design and Tuning (3rd and 4th editions).

Table of Contents

Part I: The Big Picture.- 1. Process Control Overview.- 2. Process Control Knowledge Framework.- Part II: Essential Knowledge.- 3. Basic PID Control.- 4. Complex PID Control Loops.- 5. PID Loop Tuning.- 6. Advanced Process Control.- Part III: Analytic Skills and Problem Solving Methodology.- 7. Methodology of Process Analysis.- 8. Methodology of Process Control Design.- 9. Methodology of Control Problem Troubleshooting.- Part IV: Process Control Typicals.- 10. Control Typicals: Common Calculations.- 11. Control Typicals: Equipment Control.- 12. Control Typicals: Plant-Wide Control and Unit Control.