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Automatic Control for Food Processing Systems : Food Engineering Series - Rosana G. Moreira

Automatic Control for Food Processing Systems

Food Engineering Series

Hardcover

Published: 28th February 2001
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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.

Forewordp. ix
Prefacep. xi
Introductionp. 1
The State of the Food Industryp. 1
Control Schemes in the Food Processing Industryp. 4
Automatic Control Strategies for the Food Industryp. 4
Future Trendsp. 6
Conclusionp. 7
Food Processing Systemsp. 9
Food Extrusion Processp. 9
Continuous Deep-Fat Frying Processp. 17
High-Capacity Continuous-Flow Grain-Drying Processp. 21
Multi-Effect Evaporatorsp. 24
Brew Kettle Operationsp. 26
Pasteurization Systemsp. 28
Conclusionp. 31
Backgroundp. 34
Definitions of Basic Conceptsp. 34
The Control Problemp. 36
Laplace Transformp. 38
Block Diagram and Transfer Functionsp. 39
Closed-Loop and Feedback Control Systemsp. 40
Open-Loop and Feedforward Control Systemsp. 56
Closed-Control System Design for Linear SISO Systemsp. 66
Advanced Controlp. 79
Conclusionp. 86
Laplace Transformp. 89
Routh's Stability Criterionp. 97
Root Locusp. 103
Process Dynamics Modelingp. 106
Types of Processesp. 106
Discrete-Time Variables and Modelsp. 110
Process Dynamics Modeling and Identificationp. 114
Nonlinear Modelingp. 134
Conclusionp. 135
Discrete Time Variablesp. 137
The z-Transformp. 140
Recursive Parameter Estimation in an Open Loopp. 148
Pseudorandom Binary Signals (PRBSs)p. 154
Multivariable Systemsp. 158
Interacting Loopsp. 158
Bristol's Relative Gain Arrayp. 161
Reducting Interactionsp. 166
Decouplingp. 169
Multivariable Controlp. 172
State-Space Representation of Systemsp. 172
Optimal Controlp. 176
Conclusionp. 179
Model Predictive Controlp. 182
Introductionp. 182
The MPC Ideap. 184
The Modelp. 186
The Control Problemp. 186
Process Constraintsp. 187
Dynamic Matrix Control (DMC)p. 189
The Generalized Predictive Control (GPC)p. 195
The Internal Model Control (IMC)p. 202
Nonlinear Model Predictive Control (NMPC)p. 212
Conclusionp. 215
Convolution Modelp. 217
Adaptive Controlp. 222
Introductionp. 222
Self-Tuning Controllers (STCs)p. 223
Model Reference Adaptive Controllers (MRACs)p. 225
Parameter Adaptive Controller Designp. 225
Performance Monitoringp. 237
Applications of Adaptive Controlp. 241
Commercially Available Adaptive Controllersp. 246
Conclusionp. 248
Statistical Process Control and Intelligent Controllersp. 251
Statistical Process Controlp. 252
Fuzzy Controllersp. 260
Neural Network Controlp. 279
Expert Controlp. 289
Conclusionp. 291
Instrumentationp. 294
Measurement Transducerp. 295
Measurement Devices or Sensorsp. 295
Transmission Linesp. 307
Computer-Controlled Systemsp. 308
Conclusionp. 319
List of Sourcesp. 321
Indexp. 325
Table of Contents provided by Syndetics. All Rights Reserved.

ISBN: 9780834217812
ISBN-10: 0834217813
Series: Food Engineering Series
Audience: General
Format: Hardcover
Language: English
Number Of Pages: 334
Published: 28th February 2001
Publisher: Aspen Publishers Inc.,U.S.
Country of Publication: US
Dimensions (cm): 25.4 x 17.8  x 2.46
Weight (kg): 1.94