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 downloadable resources) 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.

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.

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

A Real- Time Approach to Process Control provides the reader with both a theoretical and practical introduction to this increasingly important approach. Assuming no prior knowledge of the subject, this text introduces all of the applied fundamentals of process control from instrumentation to process dynamics, PID loops and tuning, to distillation, multi-loop and plant-wide control. In addition, readers come away with a working knowledge of the three most popular dynamic simulation packages. The text carefully balances theory and practice by offering readings and lecture materials along with hands-on workshops that provide a 'virtual' process on which to experiment and from which to learn modern, real time control strategy development. As well as a general updating of the book specific changes include: A new section on boiler control in the chapter on common control loops A major rewrite of the chapters on distillation column control and multiple single-loop control schemes The addition of new figures throughout the text Workshop instructions will be altered to suit the latest versions of HYSYS, ASPEN and DYNSIM simulation software A new solutions manual for the workshop problems

A practical guide for understanding and implementing industrial control strategies. Highly practical and applied, this Third Edition of Smith and Corripio's Principles and Practice of Automatic Process Control continues to present all the necessary theory for the successful practice of automatic process control. The authors discuss both introductory and advanced control strategies, and show how to apply those strategies in industrial examples drawn from their own professional practice. Now revised, this Third Edition features: * Expanded coverage of the development of dynamic balances (Chapter 3) * A new chapter on modeling and simulation (Chapter 13) * More extensive discussion of distributive control systems * New tuning exercises (Appendix D) * Guidelines for plant-wide control and two new design case studies (Appendix B) * New operating case studies (Appendix E) * Book Website containing simulations to practice the tuning of feedback controllers, cascade controllers, and feedforward controllers, and the MATLAB(r) files for simulation examples and problem With this text, you can: * Learn the mathematical tools used in the analysis and design of process control systems. * Gain a complete understanding of the steady state behavior of processes. * Develop dynamic mathematical process models that will help you in the analysis, design, and operation of control systems. * Understand how the basic components of control systems work. * Design and tune feedback controllers. * Apply a variety of techniques that enhance feedback control, including cascade control, ratio control, override control, selective control, feedforward control, multivariable control, and loop interaction. * Master the fundamentals of dynamic simulation of process control systems using MATLAB.

Master process control hands on, through practical examples and MATLAB(R) simulations This is the first complete introduction to process control that fully integrates software tools--enabling professionals and students to master critical techniques hands on, through computer simulations based on the popular MATLAB environment. Process Control: Modeling, Design, and Simulation teaches the field's most important techniques, behaviors, and control problems through practical examples, supplemented by extensive exercises--with detailed derivations, relevant software files, and additional techniques available on a companion Web site. Coverage includes: Fundamentals of process control and instrumentation, including objectives, variables, and block diagrams Methodologies for developing dynamic models of chemical processes Dynamic behavior of linear systems: state space models, transfer function-based models, and more Feedback control; proportional, integral, and derivative (PID) controllers; and closed-loop stability analysis Frequency response analysis techniques for evaluating the robustness of control systems Improving control loop performance: internal model control (IMC), automatic tuning, gain scheduling, and enhancements to improve disturbance rejection Split-range, selective, and override strategies for switching among inputs or outputs Control loop interactions and multivariable controllers An introduction to model predictive control (MPC) Bequette walks step by step through the development of control instrumentation diagrams for an entire chemical process, reviewing common control strategies for individual unit operations, then discussing strategies for integrated systems. The book also includes 16 learning modules demonstrating how to use MATLAB and SIMULINK to solve several key control problems, ranging from robustness analyses to biochemical reactors, biomedical problems to multivariable control.