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Fundamentals of Process Control: Principles and Concepts
This book explains the fundamental principles, concepts, and theory of process control and provides detailed examples of how they are applied in industrial processes.
It is designed to be a learning tool for both those who want to study independently and those who are studying at a college or university. It also serves as a reference resource for engineers, senior technicians, technologists, and first-line supervisors who are working in or involved in the field of process control.
To facilitate understanding the topics presented, the chapters include specific learning objectives, example problems to illustrate specific concepts, and exercises to reinforce learning. Topics covered
Process dynamics and characteristics
Sensors and transmitters—the importance of the accuracy, precision, sensitivity, and validity of measurements
Final control elements
The process controller
Tuning a process control loop
Cascade, feedforward, multivariable, and ratio control
Statistical process control and fuzzy control
Process modeling and simulation
Model-based control and controlling dead time
Nonlinear and adaptive control
Digital systems, specifically digital signal processing and computer implementation of control strategies
It is designed to be a learning tool for both those who want to study independently and those who are studying at a college or university. It also serves as a reference resource for engineers, senior technicians, technologists, and first-line supervisors who are working in or involved in the field of process control.
To facilitate understanding the topics presented, the chapters include specific learning objectives, example problems to illustrate specific concepts, and exercises to reinforce learning. Topics covered
Process dynamics and characteristics
Sensors and transmitters—the importance of the accuracy, precision, sensitivity, and validity of measurements
Final control elements
The process controller
Tuning a process control loop
Cascade, feedforward, multivariable, and ratio control
Statistical process control and fuzzy control
Process modeling and simulation
Model-based control and controlling dead time
Nonlinear and adaptive control
Digital systems, specifically digital signal processing and computer implementation of control strategies
Kindle Edition
Published July 12, 2022
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