This text introduces the fundamental techniques for controlling dead-time processes from simple monovariable to complex multivariable cases. It studies dead-time-process-control problems using classical proportional-integral-differential (PID) control for the simpler examples and dead-time-compensator (DTC) and model predictive control (MPC) methods for progressively more complex ones. The text analyses MPC as a dead-time-compensation strategy and shows how it can be used synergistically with robust DTC tuning methodologies. The book includes case studies based on real industrial problems with solutions that are simple to understand and easy to implement. In addition, it includes exercises and further reading in each chapter and, available for download from the Web, MATLAB® code to help analyze and control dead-time processes, including code for all the examples in the book.

Teaches students the extent and nature of widespread time-delay-related problems in control and helps them to find solutions Single source for PID-DTC and MPC approaches to dead-time problems gives easier access to both types of scheme and shows how they can reinforce each other Downloadable MATLAB® code makes the examples and ideas portrayed in the text more convenient to teach and simpler to learn Includes supplementary material: sn.pub/extras

Autorentext

Prof. Julio E. Normey-Rico is with the Automation and Systems Department of the Federal University of Santa Catarina, Brazil. He has been teaching Linear Systems and Classical Control in the Electrical and Automation and Control undergraduate courses since 1990. Since that date, he has also taught Multivariable Process Control and Digital Control in the MSc Program. Since 2000 he has taught Predictive Control and Dead-time System Control in the PhD program of the Federal University of Santa Catarina, Brazil. He has been a visiting professor for the PhD programs of the Universities of Seville, Carlos III de Madrid and Seville in Spain. He has authored and co-authored more than a 60 technical papers in international journals and conference proceedings. He has carried out review work for various conferences and technical journals. His main areas of research are process control, dead-time processes and industrial applications.

Professor Eduardo F. Camacho is Professor of the Department of System Engineering and Automatic Control at the University of Seville. His previous publications include the books: Model Predictive Control in the Process Industry (1995), Advanced Control of Solar Plants (1997) and Model Predictive Control (1999 and 2/e 20004) all published by Springer and Control e Instrumentación de Procesos Quimicos published by Ed. Sintesis. He has authored and co-authored more than a 150 technical papers in international journals and conference proceedings.

Eduardo Camacho has served on various IFAC technical committees and was a member of the Board of Governors of the IEEE/CSS appointed by the president for 2001. He served as Chair of the IFAC Publication Committee from 2002-2005. At present he is the chair of the IEEE/CSS International Affairs Committee, Chair of the IFAC Policy Committee and President of the European Control Association He has carried out review and editorial work for various conferencesand technical journals. At present he is one of the editors of the IFAC journal, Control Engineering Practice, and an associate editor of the European Journal of Control. He was Publication Chair for the IFAC World Congress in Barcelona in 2002 and the General Chair of the joint Conference on Decision and Control /European Control Conference (CDC/ECC) in December 2005.

Professor Camacho has acted as evaluator of projects at national and European level. He was appointed for four years Manager of the Advanced Production Technology Program of the Spanish National R&D Program. He was one of the Spanish representatives on the Program Committee of the Growth Research program and is now acting as expert for the Program Committee of the NMP research priority of the European Union.

Klappentext

Industrial processes and engineering, economic and biological systems commonly exhibit time delays or dead times. Dead time complicates the analysis and design of control systems and makes satisfactory control more difficult.

Control of Dead-time Processes introduces the fundamental techniques for controlling dead-time processes ranging from simple monovariable to complex multivariable cases. Solutions to dead-time-process-control problems are studied using classical proportional-integral-differential (PID) control for the simpler examples and dead-time-compensator (DTC) and model predictive control (MPC) methods for progressively more complex ones. Although MPC and DTC approaches originate in different areas of control, both use predictors to overcome the effects of dead time. Using this fact, the text analyses MPC as a dead-time-compensation strategy and shows how it can be used synergistically with robust DTC tuning methodologies.

Graduate students working for their masters or PhDs in automatic control, chemical, electronic or mechanical engineering, in which dead-time processes are prevalent, will gain particular benefit from the following features of this text:

• interlinked study of PID, DTC and MPC for dead-time processes in a single source;

• exercises and further reading for each chapter;

• extensive use of illustrations, tables and examples;

• case studies based on real industrial problems with solutions that are simple to understand and easy to implement;

• MATLAB® code developed by the authors to help analyse and control dead-time processes including code for all the examples in the book available for download from www.das.ufsc.br/~julio/deadtimebook and www.esi2.us.es/~eduardo/deadtimebook.

Control of Dead-time Processes will also be of interest to control researchers and process control engineers. Chapters 1-8 of the text can be used as part ofthe final-year course for undergraduates in control or process engineering.

Inhalt
Dead-time Processes.- Identification of Dead-time Processes.- PID Control of Dead-time Processes.- The Smith Predictor.- Dead-time Compensators for Stable Plants.- Dead-time Compensators for Unstable Plants.- Discrete Dead-time Compensators.- Model Predictive Control of Dead-time Processes.- Robust Predictive Control of Dead-time Processes.- Multivariable Dead-time Compensation.- Robust MPC for MIMO Dead-time Processes.- Control of Nonlinear Dead-time Processes.- Prediction for Control.