Process Control Design for Industrial Applications

This book presents the most important methods used for the design of digital controls implemented in industrial applications. The best modelling  and identification techniques for dynamical systems are presented as well as the algorithms for the implementation of the modern solutions of process control. The proposed described methods are illustrated by various case studies for the main industrial sectors

There exist a number of books related each one to a single type of control, yet usually without comparisons for various industrial sectors. Some other books present modelling and identification methods or signal processing. This book presents the methods to solve all the problems linked to the design of a process control without the need to find additional information.

Amira GHARBI, Assistant Professor at the Ecole Nationale d'Ingénieurs de Carthage.

Dan STEFANOIU, Professor at Politehnica University of Bucharest, Romania.

Pierre BORNE, Professor, Ecole Centrale de Lille, Villeneuve d'Ascq Cedex, France.

Preface ix

List of Acronyms and Notations  xi

Chapter 1 Introduction – Models and Dynamic Systems 1

1.1 Overview 1

1.2 Industrial process modeling 3

1.3 Model classes 5

Chapter 2 Linear Identification of Closed-Loop Systems 21

2.1 Overview of system identification 21

2.2 Framework 22

2.3 Preliminary identification of a CL process 27

2.4 CLOE class of identification methods 39

2.5 Application: identification of active suspension 80

Chapter 3 Digital Control Design Using Pole Placement 93

3.1 Digital proportional-integral-derivative algorithm control 93

3.2 Digital polynomial RST control 96

3.3 RST control by pole placement 98

3.4 Predictive RST control 104

Chapter 4 Adaptive Control and Robust Control 113

4.1 Adaptive polynomial control systems 113

4.2 Robust polynomial control systems117

Chapter 5 Multimodel Control  131

5.1 Construction of multimodels  132

5.2 Stabilization and control of multimodels 144

5.3 Design of multimodel command: fuzzy approach 144

5.4 Trajectory tracking  145

Chapter 6 Ill-Defined and/or Uncertain Systems 147

6.1 Study of the stability of nonlinear systems from vector norms    147

6.2 Adaptation of control 156

6.3 Overvaluation of the maximum error for various applications 157

6.4 Fuzzy secondary loop control 171

Chapter 7 Modeling and Control of an Elementary Industrial Process 173

7.1 Modeling and control of fluid transfer processes  173

7.2 Modeling and controlling liquid storage processes 180

7.3 Modeling and controlling the storage process of a pneumatic capacitor  187

7.4 Modeling and controlling heat transfer processes 191

7.5 Modeling and control of component transfer processes 195

Chapter 8 Industrial Applications – Case Studies 203

8.1 Digital control for an installation of air heating in a steel plant 203

8.2 Control and optimization of an ethylene installation 210

8.3 Digital control of a thermoenergy plant 219

8.4 Extremal control of a photovoltaic installation 226

Appendix A. 243

Appendix B. 249

Appendix C. 257

Appendix D. 261

Bibliography 271

Index 279

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