This third edition provides chemical engineers with process control techniques that are used in practice while offering detailed mathematical analysis. Numerous examples and simulations are used to illustrate key theoretical concepts. New exercises are integrated throughout several chapters to reinforce concepts. Up-to-date information is also included on real-time optimization and model predictive control to highlight the significant impact these techniques have on industrial practice. And chemical engineers will find two new chapters on biosystems control to gain the latest perspective in the field.
Offering a different approach to other textbooks in the area, this book is a comprehensive introduction to the subject divided in three broad parts. The first part deals with building physical models, the second part with developing empirical models and the final part discusses developing process control solutions. Theory is discussed where needed to ensure students have a full understanding of key techniques that are used to solve a modeling problem. Hallmark Features: Includes worked out examples of processes where the theory learned early on in the text can be applied. Uses MATLAB simulation examples of all processes and modeling techniques- further information on MATLAB can be obtained from www.mathworks.com Includes supplementary website to include further references, worked examples and figures from the book This book is structured and aimed at upper level undergraduate students within chemical engineering and other engineering disciplines looking for a comprehensive introduction to the subject. It is also of use to practitioners of process control where the integrated approach of physical and empirical modeling is particularly valuable.
This chemical engineering text provides a balanced treatment of the central issues in process control: process modelling, process dynamics, control systems, and process instrumentation. There is also full coverage of classical control system design methods, advanced control strategies, and digital control techniques. Includes numerous examples and exercises.
This book is a sequel to the text Process Dynamics and Control (published by PHI Learning). The objective of this text is to introduce frontier areas of control technology with an ample number of application examples. It also introduces the simulation platform PCSA (Process Control System Analyzer) to include senior level worked out examples like multi-loop control of exothermic reactor and distillation column. The textbook includes discussions on state variable techniques and analysis MIMO systems, and techniques of non-linear systems treatment with extensive number of examples. A chapter has been included to discuss the industrial practice of instrumentation systems for important unit operation and processes, which ends up with the treatment on Plant-wide-control. The two state-of-the-art tools of computer based control, Micro-controllers and Programmable Logic Controllers (PLC), are discussed with practical application examples. A number of demonstration programs have been offered for basic conception development in the accompanying CD. It familiarizes students with the real task of simulation by means of simple computer programming procedure with sufficient graphic support, and helps to develop capability of handling complex dynamic systems. This book is primarily intended for the postgraduate students of chemical engineering and instrumentation and control engineering. Also it will be of considerable interest to professionals engaged in handling process plant automation systems. KEY FEATURES • Majority of worked out examples and exercise problems are chosen from practical process applications. • A complete coverage of controller synthesis in frequency domain provides a better grasp of controller tuning. • Advanced control strategies and adaptive control are covered with ample number of worked out examples.
About The Book: This long-awaited second edition of Dale Seborg, Thomas Edgar, and Duncan Mellichamp's Process Dynamic and Control reflects recent changes and advances in process control theory and technology. The authors have added new topics, and enhanced the presentation with a large number of new exercises and examples, many of which utilize MATLAB and Simulink.
This third edition provides chemical engineers with process control techniques that are used in practice while offering detailed mathematical analysis. Numerous examples and simulations are used to illustrate key theoretical concepts. New exercises are integrated throughout several chapters to reinforce concepts. Up-to-date information is also included on real-time optimization and model predictive control to highlight the significant impact these techniques have on industrial practice. And chemical engineers will find two new chapters on biosystems control to gain the latest perspective in th.
This text offers a modern view of process control in the context of today's technology. It provides the standard material in a coherent presentation and uses a notation that is more consistent with the research literature in process control. Topics that are unique include a unified approach to model representations, process model formation and process identification, multivariable control, statistical quality control, and model-based control. This book is designed to be used as an introductory text for undergraduate courses in process dynamics and control. In addition to chemical engineering courses, the text would also be suitable for such courses taught in mechanical, nuclear, industrial, and metallurgical engineering departments. The material is organized so that modern concepts are presented to the student but details of the most advanced material are left to later chapters. The text material has been developed, refined, and classroom tested over the last 10-15 years at the University of Wisconsin and more recently at the University of Delaware. As part of the course at Wisconsin, a laboratory has been developed to allow the students hands-on experience with measurement instruments, real time computers, and experimental process dynamics and control problems.