Dynamics and Nonlinear Control of Integrated Process Systems

Michael Baldea

ISBN 10: 052119170X / ISBN 13: 9780521191708

Published by Cambridge University Press, 2012

About this Item

Druck auf Anfrage Neuware - Printed after ordering - Presenting a systematic model reduction and hierarchical controller design framework for broad classes of integrated process systems encountered in practice, this book first studies process systems with large material recycle and/or with small purge streams, followed by systems with energy integration. Step-by-step model reduction procedures are developed to derive nonlinear reduced models of the dynamics in each time scale. Hierarchical control architectures consisting of coordinated levels of control action in different time scales are proposed for each class of process systems considered to enforce stability, tracking performance and disturbance rejection. Numerous process applications are discussed in detail to illustrate the application of the methods and their potential to improve process operations. MATLAB codes are also presented to guide further application of the methods developed and facilitate practical implementations.

Seller Inventory # 9780521191708

Bibliographic Details

• Title: Dynamics and Nonlinear Control of Integrated Process Systems
• Publisher: Cambridge University Press
• Publication Date: 2012
• Language: English
• ISBN 10: 052119170X
• ISBN 13: 9780521191708
• Binding: Buch
• Condition: Neu

About this title

Synopsis

Presenting a systematic model reduction and hierarchical controller design framework for broad classes of integrated process systems encountered in practice, this book first studies process systems with large material recycle and/or with small purge streams, followed by systems with energy integration. Step-by-step model reduction procedures are developed to derive nonlinear reduced models of the dynamics in each time scale. Hierarchical control architectures consisting of coordinated levels of control action in different time scales are proposed for each class of process systems considered to enforce stability, tracking performance and disturbance rejection. Numerous process applications are discussed in detail to illustrate the application of the methods and their potential to improve process operations. MATLAB codes are also presented to guide further application of the methods developed and facilitate practical implementations.

About the Authors

Michael Baldea is Assistant Professor in the Department of Chemical Engineering at the University of Texas, Austin. Prior to joining the University of Texas, he held industrial research positions with Praxair Technology Center in Tonawanda, NY and GE Global Research in Niskayuna, NY. He has received several research and service awards, including the Model-Based Innovation Prize from Process Systems Enterprise and the Best Referee Award from the Journal of Process Control and has co-authored over 60 papers and presentations.

Prodromos Daoutidis is Professor in the Department of Chemical Engineering and Materials Science at the University of Minnesota. He has also held a position as Professor at the Aristotle University of Thessaloniki in 2004–2006. He is the recipient of several research and teaching awards and recognitions, including the NSF CAREER Award, the Model-Based Innovation Prize from Process Systems Enterprise, the Ted Peterson Award of CAST, the George Taylor Career Development Award, the McKnight Land-Grant Professorship, the Ray D. Johnson/Mayon Plastics Professorship and the Shell Chair at the University of Minnesota. He has also been a Humphrey Institute Policy Fellow. He has co-authored two books and 175 refereed papers.