Service-Telefon
+49(0)6151-988520
German English
Fachgebiete

Details

1631184 Agachi, Paul Serban; Nagy, Zoltán K.; Cristea, Mircea Vasile:
Model Based Control
Case Studies in Process Engineering
Preis:   € 109,00

Einband: Gb
Auflage: 1. Auflage
Verlag: Wiley-VCH Verlag GmbH & Co. KGaA
Erscheinungsdatum: 2006
Seiten: 290 S.
Abbildungen: 181 Ill.

ISBN-10: 3-527-31545-4   
ISBN-13: 978-3-527-31545-1


In den Warenkorb

Weitere Fachbücher aus dem Fachgebiet:
Anlagenplanung | Chemie | Chemische Verfahrenstechnik | Organische Chemie | Regelungstechnik u. Automation | Technische/Industrielle Chemie | 
zurück
Beschreibung
Filling a gap in the literature for a practical approach to the topic, this book is unique in including a whole section of case studies presenting a wide range of applications from polymerization reactors and bioreactors, to distillation column and complex fluid catalytic cracking units. A section of general tuning guidelines of MPC is also present.These thus aid readers in facilitating the implementation of MPC in process engineering and automation. At the same time many theoretical, computational and implementation aspects of model-based control are explained, with a look at both linear and nonlinear model predictive control. Each chapter presents details related to the modeling of the process as well as the implementation of different model-based control approaches, and there is also a discussion of both the dynamic behaviour and the economics of industrial processes and plants. The book is unique in the broad coverage of different model based control strategies and in the variety of applications presented. A special merit of the book is in the included library of dynamic models of several industrially relevant processes, which can be used by both the industrial and academic community to study and implement advanced control strategies.
Inhalt
INTRODUCTION
Introductory Concepts of Process Control
Advanced Process Control Techniques
MODEL PREDICTIVE CONTROL
Internal Model Control
Linear Model Predictive Control
Nonlinear Model Predictive Control
MPC General Tuning Guidelines
CASE STUDIES
Productivity Optimization and Nonlinear Model - Predictive Control of a PVC Batch Reactor
Modeling, Simulation and Control of a Yeast Fermentation Bioreactor
Dynamic Modeling and Control of a High Purity Distillation Column
Practical Implementation of NMPC for a Laboratory Azeotropic Distillation Column
Model Predictive Control of the Fluid Catalytic Cracking Unit
Model Predictive Control of the Drying Process of Electric Insulators
The MPC of Brine Electrolysis Processes
 © academic-books.com, Alle Rechte vorbehalten.