Description

Book Synopsis

With resources at a premium, and ecological concerns paramount, the need for clean, efficient and low-cost processes is one of the most critical challenges facing chemical engineers. The ability to control these processes, optimizing one, two or several variables has the potential to make more substantial savings in time, money and resources than any other single factor.

Building on the success of the previous editions, this new third edition of A Real-Time Approach to Process Control employs both real industry practice and process control education without the use of complex or highly mathematical techniques, providing a more practical and applied approach.

Updated throughout, this edition:

Includes a brand new chapter on Model predictive Control (MPC)

Now includes wireless and web-based technologies

Covers bio-related systems

Details the new multivariable control measure developed by the authors

Includes Pow

Table of Contents
Author Biographies xi

Foreword and Endorsements xiii

Preface xv

Acknowledgements xvii

1 A Brief History of Process Control and Process Simulation 1

1.1 Process Control 1

1.2 Process Simulation 5

References 11

2 Process Control Hardware Fundamentals 15

2.1 Control System Components 15

2.2 Primary Elements 16

2.3 Final Control Elements 33

References 53

3 Fundamentals of Single-Input/Single-Output Systems 55

3.1 Open Loop Control 55

3.2 Disturbances 56

3.3 Feedback Control – Overview 57

3.4 Feedback Control – A Closer Look 60

3.5 Process Attributes – Capacitance and Dead Time 66

3.6 Process Dynamic Response 74

3.7 Process Modelling and Simulation 76

References 93

4 Basic Control Modes 95

4.1 On–Off Control 95

4.2 Proportional (P-Only) Control 97

4.3 Integral (I-Only) Control 102

4.4 Proportional Plus Integral (PI) Control 105

4.5 Derivative Action 107

4.6 Proportional Plus Derivative (PD) Controller 108

4.7 Proportional Integral Derivative (PID) Control 111

4.8 Digital Electronic Controller Forms 112

4.9 Choosing the Correct Controller 112

4.10 Controller Hardware 114

References 117

5 Tuning Feedback Controllers 119

5.1 Quality of Control and Optimization 119

5.2 Tuning Methods 123

References 132

6 Advanced Topics in Classical Automatic Control 133

6.1 Cascade Control 133

6.2 Feedforward Control 137

6.3 Ratio Control 140

6.4 Override Control (Auto Selectors) 142

6.5 Split Range Control 147

References 149

7 Common Control Loops 151

7.1 Flow Loops 151

7.2 Liquid Pressure Loops 153

7.3 Liquid Level Control 155

7.4 Gas Pressure Loops 165

7.5 Temperature Control Loops 166

7.6 Pump Control 172

7.7 Compressor Control 172

7.8 Boiler Control 179

References 182

8 Distillation Column Control 185

8.1 Basic Terms 185

8.2 Steady-State and Dynamic Degrees of Freedom 186

8.3 Control System Objectives and Design Considerations 188

8.4 Methodology for Selection of a Controller Structure 190

8.5 Level, Pressure, Temperature and Composition Control 192

8.6 Optimizing Control 199

Section Sidestream 199

8.7 Distillation Control Scheme Design Using Steady-State Models 204

8.8 Distillation Control Scheme Design Using Dynamic Models 212

References 213

9 Using Steady-State Methods in a Multi-loop Control Scheme 215

9.1 Variable Pairing 215

9.2 The Relative Gain Array 216

9.3 Niederlinski Index 220

9.4 Decoupling Control Loops 220

9.5 Tuning the Controllers for Multi-loop Systems 222

9.6 Practical Examples 222

9.7 Summary 232

References 232

10 Plant-Wide Control 233

10.1 Short-Term versus Long-Term Control Focus 233

10.2 Cascaded Units 235

10.3 Recycle Streams 236

10.4 General Considerations for Plant-Wide Control 241

References 242

11 Advanced Process Control 245

11.1 Advanced Process Control 245

11.2 Model Predictive Control 246

11.3 Dynamic Matrix Control 249

11.4 General Considerations for Model Predictive Control Implementation 253

References 254

Appendix A P&ID Symbols 257

Appendix B Glossary of Terms 261

Appendix C New Capabilities with Control Technology Hardware and Software 267

Workshop 1 Learning through Doing 279

Workshop 2 Feedback Control Loop Concepts 283

Workshop 3 Process Capacity and Dead Time 289

Workshop 4 Feedback Control 295

Workshop 5 Controller Tuning for Capacity and Dead Time Processes 303

Workshop 6 Topics in Advanced Control 311

Workshop 7 Distillation Control 321

Workshop 8 Plant Operability and Controllability 333

Index

A RealTime Approach to Process Control

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    A Hardback by William Y. Svrcek, Donald P. Mahoney, Brent R. Young

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of A RealTime Approach to Process Control by William Y. Svrcek

      Publisher: John Wiley & Sons Inc
      Publication Date: 07/02/2014
      ISBN13: 9781119993872, 978-1119993872
      ISBN10: 1119993873

      Description

      Book Synopsis

      With resources at a premium, and ecological concerns paramount, the need for clean, efficient and low-cost processes is one of the most critical challenges facing chemical engineers. The ability to control these processes, optimizing one, two or several variables has the potential to make more substantial savings in time, money and resources than any other single factor.

      Building on the success of the previous editions, this new third edition of A Real-Time Approach to Process Control employs both real industry practice and process control education without the use of complex or highly mathematical techniques, providing a more practical and applied approach.

      Updated throughout, this edition:

      Includes a brand new chapter on Model predictive Control (MPC)

      Now includes wireless and web-based technologies

      Covers bio-related systems

      Details the new multivariable control measure developed by the authors

      Includes Pow

      Table of Contents
      Author Biographies xi

      Foreword and Endorsements xiii

      Preface xv

      Acknowledgements xvii

      1 A Brief History of Process Control and Process Simulation 1

      1.1 Process Control 1

      1.2 Process Simulation 5

      References 11

      2 Process Control Hardware Fundamentals 15

      2.1 Control System Components 15

      2.2 Primary Elements 16

      2.3 Final Control Elements 33

      References 53

      3 Fundamentals of Single-Input/Single-Output Systems 55

      3.1 Open Loop Control 55

      3.2 Disturbances 56

      3.3 Feedback Control – Overview 57

      3.4 Feedback Control – A Closer Look 60

      3.5 Process Attributes – Capacitance and Dead Time 66

      3.6 Process Dynamic Response 74

      3.7 Process Modelling and Simulation 76

      References 93

      4 Basic Control Modes 95

      4.1 On–Off Control 95

      4.2 Proportional (P-Only) Control 97

      4.3 Integral (I-Only) Control 102

      4.4 Proportional Plus Integral (PI) Control 105

      4.5 Derivative Action 107

      4.6 Proportional Plus Derivative (PD) Controller 108

      4.7 Proportional Integral Derivative (PID) Control 111

      4.8 Digital Electronic Controller Forms 112

      4.9 Choosing the Correct Controller 112

      4.10 Controller Hardware 114

      References 117

      5 Tuning Feedback Controllers 119

      5.1 Quality of Control and Optimization 119

      5.2 Tuning Methods 123

      References 132

      6 Advanced Topics in Classical Automatic Control 133

      6.1 Cascade Control 133

      6.2 Feedforward Control 137

      6.3 Ratio Control 140

      6.4 Override Control (Auto Selectors) 142

      6.5 Split Range Control 147

      References 149

      7 Common Control Loops 151

      7.1 Flow Loops 151

      7.2 Liquid Pressure Loops 153

      7.3 Liquid Level Control 155

      7.4 Gas Pressure Loops 165

      7.5 Temperature Control Loops 166

      7.6 Pump Control 172

      7.7 Compressor Control 172

      7.8 Boiler Control 179

      References 182

      8 Distillation Column Control 185

      8.1 Basic Terms 185

      8.2 Steady-State and Dynamic Degrees of Freedom 186

      8.3 Control System Objectives and Design Considerations 188

      8.4 Methodology for Selection of a Controller Structure 190

      8.5 Level, Pressure, Temperature and Composition Control 192

      8.6 Optimizing Control 199

      Section Sidestream 199

      8.7 Distillation Control Scheme Design Using Steady-State Models 204

      8.8 Distillation Control Scheme Design Using Dynamic Models 212

      References 213

      9 Using Steady-State Methods in a Multi-loop Control Scheme 215

      9.1 Variable Pairing 215

      9.2 The Relative Gain Array 216

      9.3 Niederlinski Index 220

      9.4 Decoupling Control Loops 220

      9.5 Tuning the Controllers for Multi-loop Systems 222

      9.6 Practical Examples 222

      9.7 Summary 232

      References 232

      10 Plant-Wide Control 233

      10.1 Short-Term versus Long-Term Control Focus 233

      10.2 Cascaded Units 235

      10.3 Recycle Streams 236

      10.4 General Considerations for Plant-Wide Control 241

      References 242

      11 Advanced Process Control 245

      11.1 Advanced Process Control 245

      11.2 Model Predictive Control 246

      11.3 Dynamic Matrix Control 249

      11.4 General Considerations for Model Predictive Control Implementation 253

      References 254

      Appendix A P&ID Symbols 257

      Appendix B Glossary of Terms 261

      Appendix C New Capabilities with Control Technology Hardware and Software 267

      Workshop 1 Learning through Doing 279

      Workshop 2 Feedback Control Loop Concepts 283

      Workshop 3 Process Capacity and Dead Time 289

      Workshop 4 Feedback Control 295

      Workshop 5 Controller Tuning for Capacity and Dead Time Processes 303

      Workshop 6 Topics in Advanced Control 311

      Workshop 7 Distillation Control 321

      Workshop 8 Plant Operability and Controllability 333

      Index

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