Nonlinear Process Control:: Applications of Generic Model Control

Nonlinear Process Control:: Applications of Generic Model Control

by Peter L. Lee (Editor)

Paperback(Softcover reprint of the original 1st ed. 1993)

$109.00
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Overview

It is a valuable contribution to the task of filling the theory and practice gap that exists in Process Control. The volume editor has drawn together a number of industrial case studies where Generic Model Control has been successfully applied. Each case study is documented and described in detail. Nonlinear Process Control will be of particular interest to industrial practitioners. It provides a tutorial introduction to Generic Model Control and assists them in applying modern control methods to their processes.

Product Details

ISBN-13: 9781447120810
Publisher: Springer London
Publication date: 11/22/2011
Series: Advances in Industrial Control
Edition description: Softcover reprint of the original 1st ed. 1993
Pages: 250
Product dimensions: 6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

1 Introduction.- 1.1 References.- 2 Generic Model Control — The Basics.- 2.1 Introduction.- 2.2 The Basics.- 2.3 Reference Systems.- 2.4 Using Steady State Models.- 2.5 Constraint Handling Strategy.- 2.6 Robust Stability and Performance Analysis.- 2.7 Applications.- 2.8 References.- 3 Industrial Applications of Reference System Synthesis/Generic Model Control: Wastewater pH Control.- 3.1 Abstract.- 3.2 Introduction.- 3.3 Process Description.- 3.4 Model Development.- 3.5 Model Validation.- 3.6 Controller Design and Tuning.- 3.7 Implementation.- 3.8 Results.- 3.9 Conclusions.- 3.10 Acknowledgement.- 3.11 Nomenclature.- 3.12 References.- 4 Using Tray-To-Tray Models for Distillation Control.- 4.1 Introduction.- 4.2 Description of Columns Considered.- 4.3 Controller Models.- 4.4 Implementation Issues.- 4.5 Results.- 4.6 Economic Benefits.- 4.7 Conclusions.- 4.8 References.- 5 Automatic Moisture Control in Particulate Dryers.- 5.1 Abstract.- 5.2 Introduction.- 5.3 Rationale.- 5.4 Research and Development of the Control System.- 5.4.1 Moisture Control.- 5.4.2 Conveyor Belt Speed.- 5.4.3 Zone 1 Temperature.- 5.4.4 Zone 2 Temperature.- 5.4.5 Zone 3 Temperature.- 5.4.6 Dryer Control Modifications.- 5.5 Development of the Controller.- 5.6 Results.- 5.7 Cost Benefit Analysis.- 5.8 Discussion.- 5.9 Conclusions.- 5.10 Acknowledgements.- 5.11 References.- 6 Eccentricity Control of a Cable Jacketing Line.- 6.1 Introduction.- 6.2 The Application.- 6.3 The Controllers.- 6.4 Results.- 6.5 Conclusions.- 6.6 Acknowledgements.- 6.7 References.- 7 The Development of a Nonlinear Adaptive Generic Model Controller for Chemical Reaction Quality Control.- 7.1 Abstract.- 7.2 Inntroduction.- 7.3 Chronological Development of the Control Strategy.- 7.3.1 July 1990 — The Process.- 7.3.2 August 1990 — The Model.- 7.3.3 October 1990 — The Controller.- 7.3.4 November 1990 — Tuning of the GMC Controller.- 7.3.5 June 1991— Tuning of the Adaptation Algorithm.- 7.3.6 January 1992 — Model Validation.- 7.3.7 March 1992 — Economic Benefits.- 7.3.8 Process Monitoring.- 7.4 Summary.- 7.5 Issues in Nonlinear Adaptive Control.- 7.6 References.- 8 Blast Furnace Stove Control.- 8.1 Introduction.- 8.2 Blast Furnace Stoves.- 8.2.1 Physical Description of Full-Scale Stoves.- 8.2.2 Laboratory Scale Stove System.- 8.2.3 Control Objectives, Measurements and Manipulated Variables.- 8.2.4 Control Difficulties.- 8.3 Model and Control Law Development.- 8.3.1 Blast Air Temperature.- 8.3.2 Blast Flow-rate GMC Control Law.- 8.3.3 On-gas Stove Model.- 8.3.4 Long-term Control Algorithm.- 8.3.4.1 Limiting case operations.- 8.3.4.2 The optimisation problem.- 8.4 Implementation.- 8.4.1 Functional Hierarchy.- 8.4.2 Hardware and Software Hierarchy.- 8.4.3 Solution of the Optimization Problem.- 8.4.4 Tuning.- 8.5 Results.- 8.5.1 Short-term Results.- 8.5.2 Long-term Results.- 8.6 Economic Benefits.- 8.7 References.- 9 Conclusions.

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