Applied intelligent control of induction motor drives / (Record no. 42353)
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| 000 -LEADER | |
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| fixed length control field | 16257nam a2201225 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 6016255 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | IEEE |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20191218152122.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr |n||||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 151221s2011 nju ob 001 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780470825587 |
| Qualifying information | ebook |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9780470825563 |
| Qualifying information | |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 0470825588 |
| Qualifying information | electronic |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1002/9780470825587 |
| Source of number or code | doi |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (CaBNVSL)mat06016255 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (IDAMS)0b0000648164c86f |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | CaBNVSL |
| Language of cataloging | eng |
| Description conventions | rda |
| Transcribing agency | CaBNVSL |
| Modifying agency | CaBNVSL |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | TJ217.5 |
| Item number | .C43 2011eb |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Chan, Tze Fun, |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Applied intelligent control of induction motor drives / |
| Statement of responsibility, etc. | Tze-Fun Chan, Keli Shi. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Hoboken, New Jersey : |
| Name of producer, publisher, distributor, manufacturer | Wiley, |
| Date of production, publication, distribution, manufacture, or copyright notice | c2011. |
| 264 #2 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | [Piscataqay, New Jersey] : |
| Name of producer, publisher, distributor, manufacturer | IEEE Xplore, |
| Date of production, publication, distribution, manufacture, or copyright notice | [2011] |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 PDF (288 pages). |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | electronic |
| Source | isbdmedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Source | rdacarrier |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Preface xiii -- Acknowledgments xvii -- About the Authors xxi -- List of Symbols xxiii -- 1 Introduction 1 -- 1.1 Induction Motor 1 -- 1.2 Induction Motor Control 2 -- 1.3 Review of Previous Work 2 -- 1.3.1 Scalar Control 3 -- 1.3.2 Vector Control 3 -- 1.3.3 Speed Sensorless Control 4 -- 1.3.4 Intelligent Control of Induction Motor 4 -- 1.3.5 Application Status and Research Trends of Induction Motor Control 4 -- 1.4 Present Study 4 -- 2 Philosophy of Induction Motor Control 9 -- 2.1 Introduction 9 -- 2.2 Induction Motor Control Theory 10 -- 2.2.1 Nonlinear Feedback Control 10 -- 2.2.2 Induction Motor Models 11 -- 2.2.3 Field-Oriented Control 13 -- 2.2.4 Direct Self Control 14 -- 2.2.5 Acceleration Control Proposed 15 -- 2.2.6 Need for Intelligent Control 16 -- 2.2.7 Intelligent Induction Motor Control Schemes 17 -- 2.3 Induction Motor Control Algorithms 19 -- 2.4 Speed Estimation Algorithms 23 -- 2.5 Hardware 25 -- 3 Modeling and Simulation of Induction Motor 31 -- 3.1 Introduction 31 -- 3.2 Modeling of Induction Motor 32 -- 3.3 Current-Input Model of Induction Motor 34 -- 3.3.1 Current (3/2) Rotating Transformation Sub-Model 35 -- 3.3.2 Electrical Sub-Model 35 -- 3.3.3 Mechanical Sub-Model 37 -- 3.3.4 Simulation of Current-Input Model of Induction Motor 37 -- 3.4 Voltage-Input Model of Induction Motor 40 -- 3.4.1 Simulation Results of 'Motor 1' 43 -- 3.4.2 Simulation Results of 'Motor 2' 43 -- 3.4.3 Simulation Results of 'Motor 3' 44 -- 3.5 Discrete-State Model of Induction Motor 45 -- 3.6 Modeling and Simulation of Sinusoidal PWM 49 -- 3.7 Modeling and Simulation of Encoder 51 -- 3.8 Modeling of Decoder 54 -- 3.9 Simulation of Induction Motor with PWM Inverter and Encoder/Decoder 54 -- 3.10 MATLAB/Simulink Programming Examples 55 -- 3.11 Summary 73 -- 4 Fundamentals of Intelligent Control Simulation 75 -- 4.1 Introduction 75 -- 4.2 Getting Started with Fuzzy Logical Simulation 75 -- 4.2.1 Fuzzy Logic Control 75 -- 4.2.2 Example: Fuzzy PI Controller 77 -- 4.3 Getting Started with Neural-Network Simulation 83. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 4.3.1 Artificial Neural Network 83 -- 4.3.2 Example: Implementing Park's Transformation Using ANN 85 -- 4.4 Getting Started with Kalman Filter Simulation 90 -- 4.4.1 Kalman Filter 92 -- 4.4.2 Example: Signal Estimation in the Presence of Noise by Kalman Filter 94 -- 4.5 Getting Started with Genetic Algorithm Simulation 98 -- 4.5.1 Genetic Algorithm 98 -- 4.5.2 Example: Optimizing a Simulink Model by Genetic Algorithm 100 -- 4.6 Summary 107 -- 5 Expert-System-based Acceleration Control 109 -- 5.1 Introduction 109 -- 5.2 Relationship between the Stator Voltage Vector and Rotor Acceleration 110 -- 5.3 Analysis of Motor Acceleration of the Rotor 113 -- 5.4 Control Strategy of Voltage Vector Comparison and Voltage Vector Retaining 114 -- 5.5 Expert-System Control for Induction Motor 118 -- 5.6 Computer Simulation and Comparison 122 -- 5.6.1 The First Simulation Example 123 -- 5.6.2 The Second Simulation Example 125 -- 5.6.3 The Third Simulation Example 126 -- 5.6.4 The Fourth Simulation Example 127 -- 5.6.5 The Fifth Simulation Example 129 -- 5.7 Summary 131 -- 6 Hybrid Fuzzy/PI Two-Stage Control 133 -- 6.1 Introduction 133 -- 6.2 Two-Stage Control Strategy for an Induction Motor 135 -- 6.3 Fuzzy Frequency Control 136 -- 6.3.1 Fuzzy Database 138 -- 6.3.2 Fuzzy Rulebase 139 -- 6.3.3 Fuzzy Inference 141 -- 6.3.4 Defuzzification 142 -- 6.3.5 Fuzzy Frequency Controller 142 -- 6.4 Current Magnitude PI Control 143 -- 6.5 Hybrid Fuzzy/PI Two-Stage Controller for an Induction Motor 145 -- 6.6 Simulation Study on a 7.5 kW Induction Motor 145 -- 6.6.1 Comparison with Field-Oriented Control 146 -- 6.6.2 Effects of Parameter Variation 148 -- 6.6.3 Effects of Noise in the Measured Speed and Input Current 149 -- 6.6.4 Effects of Magnetic Saturation 149 -- 6.6.5 Effects of Load Torque Variation 150 -- 6.7 Simulation Study on a 0.147 kW Induction Motor 152 -- 6.8 MATLAB/Simulink Programming Examples 158 -- 6.8.1 Programming Example 1: Voltage-Input Model of an Induction Motor 158 -- 6.8.2 Programming Example 2: Fuzzy/PI Two-Stage Controller 163. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 6.9 Summary 165 -- 7 Neural-Network-based Direct Self Control 167 -- 7.1 Introduction 167 -- 7.2 Neural Networks 168 -- 7.3 Neural-Network Controller of DSC 170 -- 7.3.1 Flux Estimation Sub-Net 170 -- 7.3.2 Torque Calculation Sub-Net 171 -- 7.3.3 Flux Angle Encoder and Flux Magnitude Calculation Sub-Net 173 -- 7.3.4 Hysteresis Comparator Sub-Net 178 -- 7.3.5 Optimum Switching Table Sub-Net 180 -- 7.3.6 Linking of Neural Networks 183 -- 7.4 Simulation of Neural-Network-based DSC 184 -- 7.5 MATLAB/Simulink Programming Examples 187 -- 7.5.1 Programming Example 1: Direct Self Controller 187 -- 7.5.2 Programming Example 2: Neural-Network-based Optimum Switching Table 192 -- 7.6 Summary 196 -- 8 Parameter Estimation Using Neural Networks 199 -- 8.1 Introduction 199 -- 8.2 Integral Equations Based on the 'T' Equivalent Circuit 200 -- 8.3 Integral Equations based on the 'G' Equivalent Circuit 203 -- 8.4 Parameter Estimation of Induction Motor Using ANN 205 -- 8.4.1 Estimation of Electrical Parameters 206 -- 8.4.2 ANN-based Mechanical Model 208 -- 8.4.3 Simulation Studies 210 -- 8.5 ANN-based Induction Motor Models 214 -- 8.6 Effect of Noise in Training Data on Estimated Parameters 217 -- 8.7 Estimation of Load, Flux and Speed 218 -- 8.7.1 Estimation of Load 218 -- 8.7.2 Estimation of Stator Flux 222 -- 8.7.3 Estimation of Rotor Speed 226 -- 8.8 MATLAB/Simulink Programming Examples 231 -- 8.8.1 Programming Example 1: Field-Oriented Control (FOC) System 231 -- 8.8.2 Programming Example 2: Sensorless Control of Induction Motor 234 -- 8.9 Summary 240 -- 9 GA-Optimized Extended Kalman Filter for Speed Estimation 243 -- 9.1 Introduction 243 -- 9.2 Extended State Model of Induction Motor 244 -- 9.3 Extended Kalman Filter Algorithm for Rotor Speed Estimation 245 -- 9.3.1 Prediction of State 245 -- 9.3.2 Estimation of Error Covariance Matrix 245 -- 9.3.3 Computation of Kalman Filter Gain 245 -- 9.3.4 State Estimation 246 -- 9.3.5 Update of the Error Covariance Matrix 246 -- 9.4 Optimized Extended Kalman Filter 247. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 9.5 Optimizing the Noise Matrices of EKF Using GA 250 -- 9.6 Speed Estimation for a Sensorless Direct Self Controller 253 -- 9.7 Speed Estimation for a Field-Oriented Controller 255 -- 9.8 MATLAB/Simulink Programming Examples 260 -- 9.8.1 Programming Example 1: Voltage-Frequency Controlled (VFC) Drive 260 -- 9.8.2 Programming Example 2: GA-Optimized EKF for Speed Estimation 264 -- 9.8.3 Programming Example 3: GA-based EKF Sensorless Voltage-Frequency Controlled Drive 268 -- 9.8.4 Programming Example 4: GA-based EKF Sensorless FOC Induction Motor Drive 269 -- 9.9 Summary 270 -- 10 Optimized Random PWM Strategies Based On Genetic Algorithms 273 -- 10.1 Introduction 273 -- 10.2 PWM Performance Evaluation 274 -- 10.2.1 Fourier Analysis of PWM Waveform 276 -- 10.2.2 Harmonic Evaluation of Typical Waveforms 277 -- 10.3 Random PWM Methods 283 -- 10.3.1 Random Carrier-Frequency PWM 283 -- 10.3.2 Random Pulse-Position PWM 285 -- 10.3.3 Random Pulse-Width PWM 285 -- 10.3.4 Hybrid Random Pulse-Position and Pulse-Width PWM 286 -- 10.3.5 Harmonic Evaluation Results 287 -- 10.4 Optimized Random PWM Based on Genetic Algorithm 288 -- 10.4.1 GA-Optimized Random Carrier-Frequency PWM 289 -- 10.4.2 GA-Optimized Random-Pulse-Position PWM 290 -- 10.4.3 GA-Optimized Random-Pulse-Width PWM 292 -- 10.4.4 GA-Optimized Hybrid Random Pulse-Position and Pulse-Width PWM 293 -- 10.4.5 Evaluation of Various GA-Optimized Random PWM Inverters 295 -- 10.4.6 Switching Loss of GA-Optimized Random Single-Phase PWM Inverters 296 -- 10.4.7 Linear Modulation Range of GA-Optimized Random Single-Phase PWM Inverters 297 -- 10.4.8 Implementation of GA-Optimized Random Single-Phase PWM Inverter 298 -- 10.4.9 Limitations of Reference Sinusoidal Frequency of GA-Optimized Random PWM Inverters 298 -- 10.5 MATLAB/Simulink Programming Examples 299 -- 10.5.1 Programming Example 1: A Single-Phase Sinusoidal PWM 299 -- 10.5.2 Programming Example 2: Evaluation of a Four-Pulse Wave 302 -- 10.5.3 Programming Example 3: Random Carrier-Frequency. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 10.6 Experiments on Various PWM Strategies 305 -- 10.6.1 Implementation of PWM Methods Using DSP 305 -- 10.6.2 Experimental Results 307 -- 10.7 Summary 310 -- 11 Experimental Investigations 313 -- 11.1 Introduction 313 -- 11.2 Experimental Hardware Design for Induction Motor Control 314 -- 11.2.1 Hardware Description 314 -- 11.3 Software Development Method 320 -- 11.4 Experiment 1: Determination of Motor Parameters 321 -- 11.5 Experiment 2: Induction Motor Run Up 321 -- 11.5.1 Program Design 322 -- 11.5.2 Program Debug 324 -- 11.5.3 Experimental Investigations 327 -- 11.6 Experiment 3: Implementation of Fuzzy/PI Two-Stage Controller 330 -- 11.6.1 Program Design 330 -- 11.6.2 Program Debug 338 -- 11.6.3 Performance Tests 339 -- 11.7 Experiment 4: Speed Estimation Using a GA-Optimized Extended Kalman Filter 344 -- 11.7.1 Program Design 345 -- 11.7.2 GA-EKF Experimental Method 345 -- 11.7.3 GA-EKF Experiments 346 -- 11.7.4 Limitations of GA-EKF 349 -- 11.8 DSP Programming Examples 352 -- 11.8.1 Generation of 3-Phase Sinusoidal PWM 354 -- 11.8.2 RTDX Programming 359 -- 11.8.3 ADC Programming 361 -- 11.8.4 CAP Programming 364 -- 11.9 Summary 370 -- 12 Conclusions and Future Developments 373 -- 12.1 Main Contributions of the Book 374 -- 12.2 Industrial Applications of New Induction Motor Drives 375 -- 12.3 Future Developments 377 -- 12.3.1 Expert-System-based Acceleration Control 378 -- 12.3.2 Hybrid Fuzzy/PI Two-Stage Control 378 -- 12.3.3 Neural-Network-based Direct Self Control 378 -- 12.3.4 Genetic Algorithm for an Extended Kalman Filter 378 -- 12.3.5 Parameter Estimation Using Neural Networks 378 -- 12.3.6 Optimized Random PWM Strategies Based on Genetic Algorithms 378 -- 12.3.7 AI-Integrated Algorithm and Hardware 379 -- Appendix A Equivalent Circuits of an Induction Motor 381 -- Appendix B Parameters of Induction Motors 383 -- Appendix C M-File of Discrete-State Induction Motor Model 385 -- Appendix D Expert-System Acceleration Control Algorithm 387 -- Appendix E Activation Functions of Neural Network 391. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Appendix F M-File of Extended Kalman Filter 393 -- Appendix G ADMC331-based Experimental System 395 -- Appendix H Experiment 1: Measuring the Electrical Parameters of Motor 3 397 -- Appendix I DSP Source Code for the Main Program of Experiment 2 403 -- Appendix J DSP Source Code for the Main Program of Experiment 3 407 -- Index. |
| 506 1# - RESTRICTIONS ON ACCESS NOTE | |
| Terms governing access | Restricted to subscribers or individual electronic text purchasers. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Induction motors are the most important workhorses in industry. They are mostly used as constant-speed drives when fed from a voltage source of fixed frequency. Advent of advanced power electronic converters and powerful digital signal processors, however, has made possible the development of high performance, adjustable speed AC motor drives.This book aims to explore new areas of induction motor control based on artificial intelligence (AI) techniques in order to make the controller less sensitive to parameter changes. Selected AI techniques are applied for different induction motor control strategies. The book presents a practical computer simulation model of the induction motor that could be used for studying various induction motor drive operations. The control strategies explored include expert-system-based acceleration control, hybrid-fuzzy/PI two-stage control, neural-network-based direct self control, and genetic algorithm based extended Kalman filter for rotor speed estimation. There are also chapters on neural-network-based parameter estimation, genetic-algorithm-based optimized random PWM strategy, and experimental investigations. A chapter is provided as a primer for readers to get started with simulation studies on various AI techniques.. Presents major artificial intelligence techniques to induction motor drives. Uses a practical simulation approach to get interested readers started on drive development. Authored by experienced scientists with over 20 years of experience in the field. Provides numerous examples and the latest research results. Simulation programs available from the book's Companion WebsiteThis book will be invaluable to graduate students and research engineers who specialize in electric motor drives, electric vehicles, and electric ship propulsion. Graduate students in intelligent control, applied electric motion, and energy, as well as engineers in industrial electronics, automation, and electrical transportation, will also find this book helpful.Simulation materials available for download at http://www.wiley.com/go/chanmotor |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE | |
| Additional physical form available note | Also available in print. |
| 538 ## - SYSTEM DETAILS NOTE | |
| System details note | Mode of access: World Wide Web |
| 588 ## - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | Description based on PDF viewed 12/21/2015. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Intelligent control systems. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Electric motors, Induction. |
| 655 #0 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| 695 ## - | |
| -- | Parameter estimation |
| 695 ## - | |
| -- | Pattern matching |
| 695 ## - | |
| -- | Performance evaluation |
| 695 ## - | |
| -- | Pi control |
| 695 ## - | |
| -- | Production systems |
| 695 ## - | |
| -- | Programming |
| 695 ## - | |
| -- | Pulse width modulation |
| 695 ## - | |
| -- | Random access memory |
| 695 ## - | |
| -- | Reactive power |
| 695 ## - | |
| -- | Resistance |
| 695 ## - | |
| -- | Rotors |
| 695 ## - | |
| -- | Signal processing algorithms |
| 695 ## - | |
| -- | Stators |
| 695 ## - | |
| -- | Strontium |
| 695 ## - | |
| -- | Time domain analysis |
| 695 ## - | |
| -- | Torque |
| 695 ## - | |
| -- | Training |
| 695 ## - | |
| -- | Voltage control |
| 695 ## - | |
| -- | Voltage measurement |
| 695 ## - | |
| -- | Acceleration |
| 695 ## - | |
| -- | Argon |
| 695 ## - | |
| -- | Biological neural networks |
| 695 ## - | |
| -- | Computational modeling |
| 695 ## - | |
| -- | Computers |
| 695 ## - | |
| -- | Connectors |
| 695 ## - | |
| -- | Control systems |
| 695 ## - | |
| -- | Covariance matrix |
| 695 ## - | |
| -- | Current measurement |
| 695 ## - | |
| -- | Data acquisition |
| 695 ## - | |
| -- | Delta modulation |
| 695 ## - | |
| -- | Digital signal processing |
| 695 ## - | |
| -- | Equations |
| 695 ## - | |
| -- | Equivalent circuits |
| 695 ## - | |
| -- | Estimation |
| 695 ## - | |
| -- | Expert systems |
| 695 ## - | |
| -- | Frequency control |
| 695 ## - | |
| -- | Frequency measurement |
| 695 ## - | |
| -- | Friction |
| 695 ## - | |
| -- | Fuzzy logic |
| 695 ## - | |
| -- | Genetic algorithms |
| 695 ## - | |
| -- | Hardware |
| 695 ## - | |
| -- | Harmonic analysis |
| 695 ## - | |
| -- | Hysteresis motors |
| 695 ## - | |
| -- | Indexes |
| 695 ## - | |
| -- | Induction motor drives |
| 695 ## - | |
| -- | Induction motors |
| 695 ## - | |
| -- | Insulated gate bipolar transistors |
| 695 ## - | |
| -- | Integrated circuit modeling |
| 695 ## - | |
| -- | Intelligent control |
| 695 ## - | |
| -- | Inverters |
| 695 ## - | |
| -- | Kalman filters |
| 695 ## - | |
| -- | Load modeling |
| 695 ## - | |
| -- | MATLAB |
| 695 ## - | |
| -- | Magnetic moments |
| 695 ## - | |
| -- | Mathematical model |
| 695 ## - | |
| -- | Neurons |
| 695 ## - | |
| -- | Noise |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Shi, Keli. |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | IEEE Xplore (Online Service), |
| Relator term | distributor. |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Wiley InterScience (Online service), |
| Relator term | publisher. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Print version: |
| International Standard Book Number | 9780470825563 |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Abstract with links to resource |
| Uniform Resource Identifier | https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6016255 |
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