工业自动化专业英语 修订版PDF电子书下载

CHAPTER 1 THE PRINCIPLE OF INDUSTRIAL PROCESS CONTROL 1

Unit 1 Introduction to Process Control 1

Reading Material 1:Overview of Control Engineering 7

Unit 2 What is Feedback and What are Its Effects? 13

Reading Material 2:Root-Locus Technique 18

Unit 3 Stability of Closed-Loop Control Systems 25

Reading Material 3:Frequency-Domain Analysis 31

Unit 4 The Design Process of Control System 36

Reading Material 4:Control System Design Considerations 43

Unit 5 Controller Tuning 49

Reading Material 5:Autotuning 56

CHAPTER 2 PROCESS PARAMETERS MEASUREMENT AND FINAL OPERATION SYSTEMS 61

Unit 6 Introduction 61

Reading Material 6:Accuracy,Sensitivity and Readability of Meters 65

Unit 7 Level and Pressure Measurement 69

Reading Material 7:Level Measurement 75

Unit 8 Flow Measurement 77

Reading Material 8:Flow Measurement in Conduits 82

Unit 9 Temperature Measurement 84

Reading Material 9:Resistance Temperature Detector 88

Unit 10 Final Operating Systems 90

Reading Material 10:Various Valve Body 94

CHAPTER 3 PROCESS MODELING AND SYSTEM IDENTIFICATION 97

Unit 11 Introduction 97

Reading Material 11:Industrial Modeling Process 101

Unit 12 Mathematical Model System Identification 104

Reading Material 12:The Modeling Process 109

Unit 13 The Principle of Least Squares 113

Reading Material 13:General Aspects of Industrial Process Modeling 116

Unit 14 Examples of Using Identification Methods 120

Reading Material 14:Examples of Practical Process Models 124

Unit 15 The Practical Side of System Identification 126

Reading Material 15:Application of Genetic Programming to Nonlinear Modeling 131

CHAPTER 4 COMPLEX AND ADVANCED PROCESS CONTROL 137

Unit 16 Feedforward and Ratio Control 137

Reading Material 16:Cascade Control 142

Unit 17 Time-Delay Compensation and Inferential Control 147

Reading Material 17:Selective Control/Override Systems 152

Unit 18 Adaptive Control Systems 156

Reading Material 18:Statistical Quality Control 162

Unit 19 Model Based Predictive Control 166

Reading Material 19:Model Predictive Cascade Control and IMC Cascade Control 171

Unit 20 Supervisory Control Systems 174

Reading Material 20:Intelligent Supervisory Control and Optimization 177

CHAPTER 5 COMPUTER AND AUTOMATION 180

Unit 21 Introduction to Computer Controlled Systems 180

Reading Material 21:Computer-Based and Network-Compatible Instrumentation 184

Unit 22 Digitization and Computer Based Controller 186

Reading Material 22:The z-transform and Inverse z-transfor 192

Unit 23 Analog to Digital and Digital to Analog Conversion 194

Reading Material 23:Application Report on ADC 197

Unit 24 Microcomputer 200

Reading Material 24:Automated Chemical Analysis Using a Robotic Arm 206

Unit 25 Modern Industrial Process Control System 209

Reading Material 25:‘Lon Works Network Technology 213

Unit 26 Artificial Intelligence Techniques 216

CHAPTER 6 ARTIFICIAL INTELLIGENCE TECHNIQUES AND APPLICATIONS 216

Unit 27 Use Neural Networks for Problem Solving 221

Unit 28 Applications of Fuzzy Logic 229

Unit 29 Expert Systems 234

Unit 30 AI in Process Control 239

CHAPTER 7 AUTOMATIC CONTROL SYSTEMS 246

Unit 31 Mathematical Modeling of Physical Systems 246

Reading Material 26:Conversion Between Translation and Rotational Motions and Power Transfer 251

Unit 32 DC Motors in Control Systems 255

Reading Material 27:Mathematical Modeling of PM DC Motors 259

Unit 33 Sun-Seeker System 262

Reading Material 28:Design of a Thickness and Flatness Control System for Metal Rolling 266

Unit 34 Modern Power Systems 272

Reading Material 29:Operational Power Control Systems 280

Unit 35 Introduction to Industrial Robots 285

Reading Material 30:Walking Machine Technology-Designing the Control Systems of an Advanced Six-Legged Machine 290

APPENDIXES 297

Appendix 1 Sources of Information in Process Control 297

Appendix 2 总词汇表 301