Fundamentals Of Process Control Theory

Do you know why repeatability is more important than accuracy? Do you know what makes a closed-tank system simpler than an open tank? What determines the rate of flow through a control valve? How might 'dead time' affect a paper mill machine? How would you evaluate a vendor's online adaptive-tuning system? After reading Paul Murrill's Fundamentals of Process Control Theory, 3rd Edition, you'll know how to find the answer to questions like these, and many more advanced concepts you can apply to your day-to-day work. ISA's all-time best-selling book is now updated and expanded, offering a time-tested way for you to teach yourself the complexities of process control theory. Fundamentals of Process Control Theory has long been praised for its clear, stylish presentation of the basic principles of process automation and its excellent overview of advanced control techniques. More than just a reference book, it's a complete course in the subject, with exercises and answers to work through.Now, not only has the author updated it to reflect the most recent changes in technology, he has also incorporated material from his much-praised ISA book on putting the theory into practice: Application Concepts of Process Control. Both theoretical and practical, this guide allows readers to teach themselves the fundamental scientific principles that govern process control, particularly feedback control. Its 17 self-study units provide a solid foundation in theory, as well as a discussion of recent technologies such as computer-integrated manufacturing, statistical process control and expert systems. New chapters focus on the conceptual framework for an application, offering a practical understanding of the theory, along with specific illustrations on how concepts are implemented.Contents: Introduction and Overview Basic Control Concepts Functional Structure of Feedback Control Sensors and Transmission Systems Typical Measurements Controllers Control Valves Process Dynamics Tuning Control Systems Cascade Control Feedforward and Multivariable Control Special Purpose Concepts Dead Time Control Nonlinear Compensation and Adaptive Control Sequential Control Modern Control System Architecture New Directions for Process Control Glossary Index.

Strong theoretical and practical knowledge of process control is essential for plant practicing engineers and operators. In addition being able to use control hardware and software appropriately, engineers must be able to select or write computer programs that interface the hardware and software required to run a plant effectively. Designed to help readers understand control software and strategies that mimic human activities, Fundamentals of Automatic Process Control provides an integrated introduction to the hardware and software of automatic control systems. Featured Topics Basic instruments, control systems, and symbolic representations Laplacian mathematics for applications in control systems Various disturbances and their effects on uncontrolled processes Feedback control loops and traditional PID controllers Laplacian analysis of control loops Tuning methods for PID controllers Advanced control systems Virtual laboratory software (included on CD-ROM) Modern plants require operators and engineers to have thorough knowledge of instrumentation hardware as well as good operating skills. This book explores the theoretical analysis of the process dynamics and control via a large number of problems and solutions spread throughout the text. This balanced presentation, coupled with coverage of traditional and advanced systems provides an understanding of industrial realities that prepares readers for the future evolution of industrial operations.

The field of process control has evolved gradually over the years, with emphasis on key aspects including designing and tuning of controllers. This textbook covers fundamental concepts of basic and multivariable process control, and important monitoring and diagnosis techniques. It discusses topics including state-space models, Laplace transform to convert state-space models to transfer function models, linearity and linearization, inversion formulae, conversion of output to time domain, stability analysis through partial fraction expansion, and stability analysis using Routh table and Nyquits plots. The text also covers basics of relative gain array, multivariable controller design and model predictive control. The text comprehensively covers minimum variable controller (MVC) and minimum variance benchmark with the help of solved examples for better understanding. Fundamentals of diagnosis of control loop problems are also explained and explanations are bolstered through solved examples. Pedagogical features including solved problems and unsolved exercises are interspersed throughout the text for better understanding. The textbook is primarily written for senior undergraduate and graduate students in the field of chemical engineering and biochemical engineering for a course on process control. The textbook will be accompanied by teaching resource such a collection of slides for the course material and a includsolution manual for the instructors.

This book is aimed at engineers and technicians who need to have a clear, practical understanding of the essentials of process control, loop tuning and how to optimize the operation of their particular plant or process. The reader would typically be involved in the design, implementation and upgrading of industrial control systems. Mathematical theory has been kept to a minimum with the emphasis throughout on practical applications and useful information. This book will enable the reader to: * Specify and design the loop requirements for a plant using PID control * Identify and apply the essential building blocks in automatic control * Apply the procedures for open and closed loop tuning * Tune control loops with significant dead-times * Demonstrate a clear understanding of analog process control and how to tune analog loops * Explain concepts used by major manufacturers who use the most up-to-date technology in the process control field · A practical focus on the optimization of process and plant · Readers develop professional competencies, not just theoretical knowledge · Reduce dead-time with loop tuning techniques

The field of process control has evolved gradually over the years, with emphasis on key aspects including designing and tuning of controllers. This textbook covers fundamental concepts of basic and multivariable process control, and important monitoring and diagnosis techniques. It discusses topics including state-space models, Laplace transform to convert state-space models to transfer function models, linearity and linearization, inversion formulae, conversion of output to time domain, stability analysis through partial fraction expansion, and stability analysis using Routh table and Nyquits plots. The text also covers basics of relative gain array, multivariable controller design and model predictive control. The text comprehensively covers minimum variable controller (MVC) and minimum variance benchmark with the help of solved examples for better understanding. Fundamentals of diagnosis of control loop problems are also explained and explanations are bolstered through solved examples. Pedagogical features including solved problems and unsolved exercises are interspersed throughout the text for better understanding. The textbook is primarily written for senior undergraduate and graduate students in the field of chemical engineering and biochemical engineering for a course on process control. The textbook will be accompanied by teaching resource such a collection of slides for the course material and a includsolution manual for the instructors.

A practical introductory guide to the principles of process measurement and control. Written for those beginning a career in the instrumentation and control industry or those who need a refresher, the book will serve as a text or to supercede the mathematical treatment of control theory that will continue to be essential for a well-rounded understanding. The book will provide the reader with the ability to recognize problems concealed among a mass of data and provide minimal cost solutions, using available technology.