Describes the general principles and current research into Model Predictive Control (MPC); the most up-to-date control method for power converters and drivesThe book starts with an introduction to the subject before the first chapter on classical control methods for power converters and drives. This covers classical converter control methods and classical electrical drives control methods. The next chapter on Model predictive control first looks at predictive control methods for power converters and drives and presents the basic principles of MPC. It then looks at MPC for power electronics and drives. The third chapter is on predictive control applied to power converters. It discusses: control of a three-phase inverter; control of a neutral point clamped inverter; control of an active front end rectifier, and; control of a matrix converter. In the middle of the book there is Chapter four - Predictive control applied to motor drives. This section analyses predictive torque control of industrial machines and predictive control of permanent magnet synchronous motors. Design and implementation issues of model predictive control is the subject of the final chapter. The following topics are described in detail: cost function selection; weighting factors design; delay compensation; effect of model errors, and prediction of future references. While there are hundreds of books teaching control of electrical energy using pulse width modulation, this will be the veryfirst book published in this new topic.Unique in presenting a completely new theoretic solution to control electric power in a simple wayDiscusses the application of predictive control in motor drives, with several examples and case studiesMatlab is included on a complementary website so the reader can run their own simulations INDICE: Foreword xiPreface xiiiAcknowledgments xvPart One INTRODUCTION1 Introduction 31.1 Applications of Power Converters and Drives 31.2 Types of Power Converters 51.2.1 Generic Drive System 51.2.2 Classification of Power Converters 51.3 Control of Power Converters and Drives 71.3.1 Power Converter Control in the Past 71.3.2 Power Converter Control Today 101.3.3 Control Requirements and Challenges 111.3.4 Digital Control Platforms 121.4 Why Predictive Control Is Particularly Suited for Power Electronics 131.5 Contents of This Book 15References 162 Classical Control Methods for Power Converters and Drives 172.1 Classical Current Control Methods 172.1.1 Hysteresis Current Control 182.1.2 Linear Control with Pulse Width Modulation or SpaceVector Modulation 202.2 Classical Electrical Drive Control Methods 242.2.1 FOC 242.2.2 DTC 262.3 Summary 30References 303 Model Predictive Control 313.1 Predictive Control Methods for Power Converters and Drives 313.2 Basic Principles of MPC 323.3 MPC for Power Electronics and Drives 343.3.1 Controller Design 353.3.2 Implementation 373.3.3 General Control Scheme 383.4 Summary 38References 38Part Two MODEL PREDICTIVE CONTROL APPLIED TO POWERCONVERTERS4 Predictive Control of a Three-Phase Inverter 434.1 Introduction 434.2 Predictive Current Control 434.3 Cost Function 444.4 Converter Model 444.5 Load Model 484.6 Discrete-Time Model for Prediction494.7 Working Principle 504.8 Implementation of the Predictive Control Strategy 504.9 Comparison to a Classical Control Scheme 594.10 Summary 63References 635 Predictive Control of a Three-Phase Neutral-Point Clamped Inverter 655.1 Introduction 655.2 System Model 665.3 Linear Current Control Method with PWM 705.4 Predictive Current Control Method 705.5 Implementation 725.5.1 Reduction of the Switching Frequency 745.5.2 Capacitor Voltage Balance 775.6 Summary 78References 796 Control of an Active Front-End Rectifier 816.1 Introduction 816.2Rectifier Model 846.2.1 Space Vector Model 846.2.2 Discrete-Time Model 856.3 Predictive Current Control in an AFE 866.3.1 Cost Function 866.4 Predictive Power Control 896.4.1 Cost Function and Control Scheme 896.5 Predictive Control of an AC-DC-AC Converter 926.5.1 Control of the Inverter Side 926.5.2 Control of the Rectifier Side 946.5.3 Control Scheme 946.6 Summary 96References 977 Control of a Matrix Converter 997.1 Introduction 997.2 System Model 997.2.1 Matrix Converter Model 997.2.2 Working Principle of the MC 1017.2.3 Commutation ofthe Switches 1027.3 Classical Control: The Venturini Method 1037.4 PredictiveCurrent Control of the MC 1047.4.1 Model of the MC for Predictive Control 1047.4.2 Output Current Control 1077.4.3 Output Current Control with Minimizationof theInput Reactive Power 1097.4.4 Input Reactive Power Control 1117.5 Summary 112References 113Part Three MODEL PREDICTIVE CONTROL APPLIED TO MOTORDRIVES8 Predictive Control of Induction Machines 1178.1 Introduction 1178.2 Dynamic Model of an Induction Machine 1188.3 FOC of an InductionMachine Fed by a Matrix Converter Using Predictive Current Control 1218.3.1 Control Scheme 1218.4 Predictive Torque Control of an Induction Machine Fed by a VoltageSource Inverter 1238.4.1 PTC 1238.5 PTC of an Induction Machine Fed by a Matrix Converter 1268.5.1 Torque and Flux Control 1288.5.2 Torque and Flux Control with Minimization of the InputReactive Power 1298.6 Summary 130References 1319 Predictive Control of Permanent Magnet Synchronous Motors 1339.1 Introduction 1339.2 Machine Equations 1339.3 FOC Using Predictive Current Control 1359.3.1 Discrete-TimeModel 1369.3.2 Control Scheme 1369.4 Predictive Speed Control 1399.4.1 Discrete-Time Model 1399.4.2 Control Scheme 1409.4.3 Rotor Speed Estimation 1419.5 Summary 142References 143Part Four DESIGN AND IMPLEMENTATION ISSUES OF MODELPREDICTIVE CONTROL10 Cost Function Selection 14710.1 Introduction 14710.2 Reference Following 14710.2.1 Some Examples 14810.3 Actuation Constraints 14810.3.1 Minimization of the Switching Frequency 15010.3.2 Minimization of the SwitchingLosses 15210.4 Hard Constraints 15510.5 Spectral Content 15710.6 Summary 161References 16111 Weighting Factor Design 16311.1 Introduction 16311.2 Cost Function Classification 16411.2.1 Cost Functions without Weighting Factors 16411.2.2 Cost Functions with Secondary Terms 16411.2.3 Cost Functions with Equally Important Terms 16511.3 Weighting Factors Adjustment 16611.3.1 For Cost Functions with Secondary Terms 16611.3.2 For Cost Functions with Equally Important Terms 16711.4 Examples 16811.4.1 Switching Frequency Reduction 16811.4.2 Common-Mode Voltage Reduction 16811.4.3 Input Reactive Power Reduction 17011.4.4 Torque and Flux Control 17011.4.5 Capacitor Voltage Balancing 17411.5 Summary 175References 17612 Delay Compensation 17712.1 Introduction 17712.2 Effect of Delay due to Calculation Time 17712.3 Delay Compensation Method 18012.4 Predictionof Future References 18312.4.1 Calculation of Future References Using Extrapolation 18412.4.2 Calculation of Future References Using Vector AngleCompensation 18612.5 Summary 188References 18813 Effect of Model Parameter Errors 18913.1 Introduction 18913.2 Three-Phase Inverter 18913.3 PI Controllers with PWM 19013.3.1 Control Scheme 19013.3.2 Effect of Model Parameter Errors 19113.4 Deadbeat Control with PWM 19213.4.1 Control Scheme 19213.4.2 Effect of Model Parameter Errors 19313.5 MPC 19313.5.1 Effect of Load Parameter Variation 19413.6 Comparative Results 19513.7 Summary 199References 199Appendix A Predictive Control Simulation - Three-Phase Inverter 201A.1 Predictive Current Control of a Three-Phase Inverter 201A.1.1 Definition of Simulation Parameters 205A.1.2 MATLAB Code for Predictive Current Control 206Appendix B Predictive Control Simulation - Torque Control of an InductionMachine Fed by a Two-Level Voltage SourceInverter 209B.1 Definition of PTC Simulation Parameters 211B.2 MATLAB Code for the PTC Simulation 213Appendix C Predictive Control Simulation - Matrix Converter 217C.1 Predictive Current Control of a Direct Matrix Converter 217C.1.1 Definition of Simulation Parameters 219C.1.2 MATLAB Code for Predictive Current Control with InstantaneousReactive Power Minimization 220Index 225
- ISBN: 978-1-119-94144-6
- Editorial: John Wiley & Sons
- Encuadernacion: Rústica
- Páginas: 240
- Fecha Publicación: 20/04/2012
- Nº Volúmenes: 1
- Idioma: Inglés