Automatic Control for Food Processing Systems

Process control is a significant topic for all engineers responsible for industrial processing operations. This book introduces the reader to the range of process control techniques as applied to food and agricultural systems. It begins with an introduction to process modeling and control. Fundamental methods of process control are carefully explained in sections from dynamic modeling to control designing and implementation. The different methods of process control are accompanied by examples of application specific to food and agricultural industries.

Foreword

ix

Preface

xi

Introduction

1

(8)

The State of the Food Industry

1

(3)

Control Schemes in the Food Processing Industry

4

(1)

Automatic Control Strategies for the Food Industry

4

(2)

Future Trends

6

(1)

Conclusion

7

(2)

Food Processing Systems

9

(25)

Food Extrusion Process

9

(8)

Continuous Deep-Fat Frying Process

17

(4)

High-Capacity Continuous-Flow Grain-Drying Process

21

(3)

Multi-Effect Evaporators

24

(2)

Brew Kettle Operations

26

(2)

Pasteurization Systems

28

(3)

Conclusion

31

(3)

Background

34

(72)

Definitions of Basic Concepts

34

(2)

The Control Problem

36

(2)

Laplace Transform

38

(1)

Block Diagram and Transfer Functions

39

(1)

Closed-Loop and Feedback Control Systems

40

(16)

Open-Loop and Feedforward Control Systems

56

(10)

Closed-Control System Design for Linear SISO Systems

66

(13)

Advanced Control

79

(7)

Conclusion

86

(20)

Laplace Transform

89

(8)

Routh's Stability Criterion

97

(6)

Root Locus

103

(3)

Process Dynamics Modeling

106

(52)

Types of Processes

106

(4)

Discrete-Time Variables and Models

110

(4)

Process Dynamics Modeling and Identification

114

(20)

Nonlinear Modeling

134

(1)

Conclusion

135

(23)

Discrete Time Variables

137

(3)

The z-Transform

140

(8)

Recursive Parameter Estimation in an Open Loop

148

(6)

Pseudorandom Binary Signals (PRBSs)

154

(4)

Multivariable Systems

158

(24)

Interacting Loops

158

(3)

Bristol's Relative Gain Array

161

(5)

Reducing Interactions

166

(3)

Decoupling

169

(3)

Multivariable Control

172

(1)

State-Space Representation of Systems

172

(4)

Optimal Control

176

(3)

Conclusion

179

(3)

Model Predictive Control

182

(40)

Introduction

182

(2)

The MPC Idea

184

(2)

The Model

186

(1)

The Control Problem

186

(1)

Process Constraints

187

(2)

Dynamic Matrix Control (DMC)

189

(6)

The Generalized Predictive Control (GPC)

195

(7)

The Internal Model Control (IMC)

202

(10)

Nonlinear Model Predictive Control (NMPC)

212

(3)

Conclusion

215

(7)

Convolution Model

217

(5)

Adaptive Control

222

(29)

Introduction

222

(1)

Self-Tuning Controllers (STCs)

223

(2)

Model Reference Adaptive Controllers (MRACs)

225

(1)

Parameter Adaptive Controller Design

225

(12)

Performance Monitoring

237

(4)

Applications of Adaptive Control

241

(5)

Commercially Available Adaptive Controllers

246

(2)

Conclusion

248

(3)

Statistical Process Control and Intelligent Controllers

251

(43)

Statistical Process Control

252

(8)

Fuzzy Controllers

260

(19)

Neural Network Control

279

(10)

Expert Control

289

(2)

Conclusion

291

(3)

Instrumentation

294

(27)

Measurement Transducer

295

(1)

Measurement Devices or Sensors

295

(12)

Transmission Lines

307

(1)

Computer-Controlled Systems

308

(11)

Conclusion

319

(2)

List of Sources

321

(4)

Index

325

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Automatic Control for Food Processing Systems

Summary

Table of Contents

Supplemental Materials

FREE SHIPPING

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5% off 1 book, 7% off 2 books, 10% off 3+ books

Automatic Control for Food Processing Systems

Summary

Table of Contents

Supplemental Materials

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