Description

Book Synopsis

The type of control system used for electrical machines depends on the use (nature of the load, operating states, etc.) to which the machine will be put. The precise type of use determines the control laws which apply. Mechanics are also very important, because they affect performance.

Another factor of essential importance in industrial applications is operating safety. Finally, the problem of how to control a number of different machines, whose interactions and outputs must be coordinated, is addressed and solutions are presented.

These and other issues are addressed here by a range of expert contributors, each of whom are specialists in their particular field. This book is primarily aimed at those involved in complex systems design, but engineers in a range of related fields such as electrical engineering, instrumentation and control, and industrial engineering, will also find this a useful source of information.



Table of Contents

Preface xi

Chapter 1. Overview of Mechanical Transmission Problems 1
Pascal FONTAINE and Christian CUNAT

1.1. Technological aspects1

1.2. Bibliography 28

Chapter 2. Reminders of Solid Mechanics 31
Jean-Francois SCHMITT and Rachid RAHOUADJ

2.1. Reminders of dynamics 31

2.2. Application example: dynamic balance of a rigid rotor 42

2.3. Analytical dynamics (Euler-Lagrange) 46

2.4. Linear energies in the neighborhood of the balance for a non-damped discrete system 49

2.5. Vibratory behavior of a discrete non-damped system around an equilibrium configuration 51

2.6. Analytical study of the vibratory behavior of a milling machine table 53

2.7. Bibliography 61

Chapter 3. Towards a Global Formulation of the Problem of Mechanical Drive 63
Christian CUNAT, Mohamed HABOUSSI and Jean Francois GANGHOFFER

3.1. Presentation of the mechanical drive modeling problem 63

3.2. Brief review on continuum mechanics 72

3.3. Bibliography 89

Chapter 4. Continuous-time Linear Control 91
Frederic KRATZ

4.1. Introduction 91

4.2. PID controllers 91

4.3. PID controllers 100

4.4. Methods based on previous knowledge of a system model 104

4.5. Linear state feedback control systems 107

4.6. Optimal control 117

4.7. Choice of a control 129

4.8. Bibliography 130

Chapter 5. Overview of Various Controls 131
Frederic KRATZ

5.1. Introduction 131

5.2. Internal model controller 132

5.3. Predictive control 141

5.4. Sliding control 149

5.5. Bang-bang control 152

5.6. Control-based fuzzy logic 154

5.7. Neural network control 164

5.8. Bibliography 167

Chapter 6. Sliding Mode Control 169
Rachid OUTBIB and Michel ZASADZINSKI

6.1. Introduction169

6.2. Illustrative example 170

6.3. Basic concepts 172

6.4. Direct Lyapunov method 184

6.5. Equivalent control method 189

6.6. Imposing a surface dynamic 198

6.7. The choice of sliding surface 200

6.8. Conclusion 203

6.9. Notations 203

6.10. Bibliography 204

Chapter 7. Parameter Estimation for Knowledge and Diagnosis of Electrical Machines 207
Jean-Claude TRIGEASSOU, Thierry POINOT and Smail BACHIR

7.1. Introduction 207

7.2. Identification using output-error algorithms 210

7.3. Parameter estimation with a priori information 218

7.4. Parameter estimation of the induced machine 225

7.5. Fault detection and localization based on parameter estimation 232

7.6. Conclusion 241

7.7. Bibliography 241

Chapter 8. Diagnosis of Induction Machines by Parameter Estimation 245
Smail BACHIR, Slim TNANI, Gerard CHAMPENOIS and Jean-Claude TRIGEASSOU

8.1. Introduction 245

8.2. Induction motor model for fault detection 246

8.3. Diagnosis procedure 261

8.4. Conclusion 267

8.5. Bibliography 268

Chapter 9. Time-based Coordination 271
Michel DUFAUT and Rene HUSSON

9.1. Introduction 271

9.2. Brief description system 272

9.3. Some ideas on the manipulator system models 277

9.4. Coordination of motion 286

9.5. Conclusion 304

9.6. Bibliography 304

Chapter 10. Multileaf Collimators 307
Sabine ELLES and Bruno MAURY

10.1. Radiotherapy 307

10.2. Multileaf collimators 310

10.3. Intensity modulated radiotherapy 317

10.4. Conclusion 328

10.5. Bibliography 329

Chapter 11. Position and Velocity Coordination: Control of Machine-Tool Servomotors 331
Patrick BOUCHER and Didier DUMUR

11.1. Open architecture systems 331

11.2. Structure and implementation of control laws 334

11.3. Application to machines-tools axis drive control 339

11.4. Conclusions 362

11.5. Bibliography 364

List of Authors 367

Index 369

Control Methods for Electrical Machines

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    A Hardback by Rene Husson

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      View other formats and editions of Control Methods for Electrical Machines by Rene Husson

      Publisher: ISTE Ltd and John Wiley & Sons Inc
      Publication Date: 03/04/2009
      ISBN13: 9781848210936, 978-1848210936
      ISBN10: 1848210930

      Description

      Book Synopsis

      The type of control system used for electrical machines depends on the use (nature of the load, operating states, etc.) to which the machine will be put. The precise type of use determines the control laws which apply. Mechanics are also very important, because they affect performance.

      Another factor of essential importance in industrial applications is operating safety. Finally, the problem of how to control a number of different machines, whose interactions and outputs must be coordinated, is addressed and solutions are presented.

      These and other issues are addressed here by a range of expert contributors, each of whom are specialists in their particular field. This book is primarily aimed at those involved in complex systems design, but engineers in a range of related fields such as electrical engineering, instrumentation and control, and industrial engineering, will also find this a useful source of information.



      Table of Contents

      Preface xi

      Chapter 1. Overview of Mechanical Transmission Problems 1
      Pascal FONTAINE and Christian CUNAT

      1.1. Technological aspects1

      1.2. Bibliography 28

      Chapter 2. Reminders of Solid Mechanics 31
      Jean-Francois SCHMITT and Rachid RAHOUADJ

      2.1. Reminders of dynamics 31

      2.2. Application example: dynamic balance of a rigid rotor 42

      2.3. Analytical dynamics (Euler-Lagrange) 46

      2.4. Linear energies in the neighborhood of the balance for a non-damped discrete system 49

      2.5. Vibratory behavior of a discrete non-damped system around an equilibrium configuration 51

      2.6. Analytical study of the vibratory behavior of a milling machine table 53

      2.7. Bibliography 61

      Chapter 3. Towards a Global Formulation of the Problem of Mechanical Drive 63
      Christian CUNAT, Mohamed HABOUSSI and Jean Francois GANGHOFFER

      3.1. Presentation of the mechanical drive modeling problem 63

      3.2. Brief review on continuum mechanics 72

      3.3. Bibliography 89

      Chapter 4. Continuous-time Linear Control 91
      Frederic KRATZ

      4.1. Introduction 91

      4.2. PID controllers 91

      4.3. PID controllers 100

      4.4. Methods based on previous knowledge of a system model 104

      4.5. Linear state feedback control systems 107

      4.6. Optimal control 117

      4.7. Choice of a control 129

      4.8. Bibliography 130

      Chapter 5. Overview of Various Controls 131
      Frederic KRATZ

      5.1. Introduction 131

      5.2. Internal model controller 132

      5.3. Predictive control 141

      5.4. Sliding control 149

      5.5. Bang-bang control 152

      5.6. Control-based fuzzy logic 154

      5.7. Neural network control 164

      5.8. Bibliography 167

      Chapter 6. Sliding Mode Control 169
      Rachid OUTBIB and Michel ZASADZINSKI

      6.1. Introduction169

      6.2. Illustrative example 170

      6.3. Basic concepts 172

      6.4. Direct Lyapunov method 184

      6.5. Equivalent control method 189

      6.6. Imposing a surface dynamic 198

      6.7. The choice of sliding surface 200

      6.8. Conclusion 203

      6.9. Notations 203

      6.10. Bibliography 204

      Chapter 7. Parameter Estimation for Knowledge and Diagnosis of Electrical Machines 207
      Jean-Claude TRIGEASSOU, Thierry POINOT and Smail BACHIR

      7.1. Introduction 207

      7.2. Identification using output-error algorithms 210

      7.3. Parameter estimation with a priori information 218

      7.4. Parameter estimation of the induced machine 225

      7.5. Fault detection and localization based on parameter estimation 232

      7.6. Conclusion 241

      7.7. Bibliography 241

      Chapter 8. Diagnosis of Induction Machines by Parameter Estimation 245
      Smail BACHIR, Slim TNANI, Gerard CHAMPENOIS and Jean-Claude TRIGEASSOU

      8.1. Introduction 245

      8.2. Induction motor model for fault detection 246

      8.3. Diagnosis procedure 261

      8.4. Conclusion 267

      8.5. Bibliography 268

      Chapter 9. Time-based Coordination 271
      Michel DUFAUT and Rene HUSSON

      9.1. Introduction 271

      9.2. Brief description system 272

      9.3. Some ideas on the manipulator system models 277

      9.4. Coordination of motion 286

      9.5. Conclusion 304

      9.6. Bibliography 304

      Chapter 10. Multileaf Collimators 307
      Sabine ELLES and Bruno MAURY

      10.1. Radiotherapy 307

      10.2. Multileaf collimators 310

      10.3. Intensity modulated radiotherapy 317

      10.4. Conclusion 328

      10.5. Bibliography 329

      Chapter 11. Position and Velocity Coordination: Control of Machine-Tool Servomotors 331
      Patrick BOUCHER and Didier DUMUR

      11.1. Open architecture systems 331

      11.2. Structure and implementation of control laws 334

      11.3. Application to machines-tools axis drive control 339

      11.4. Conclusions 362

      11.5. Bibliography 364

      List of Authors 367

      Index 369

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