System Simulation Techniques with MATLAB and Simulink

Foreword xiii

Preface xv

1 Introduction to System Simulation Techniques and Applications 1

1.1 Overview of System Simulation Techniques 1

1.2 Development of Simulation Software 2

1.3 Introduction to MATLAB 5

1.4 Structure of the Book 7

Exercises 9

References 9

2 Fundamentals of MATLAB Programming 11

2.1 MATLAB Environment 11

2.2 Data Types in MATLAB 13

2.3 Matrix Computations in MATLAB 16

2.5 Programming and Tactics of MATLAB Functions 23

2.6 Two-dimensional Graphics in MATLAB 27

2.7 Three-dimensional Graphics 33

2.8 Graphical User Interface Design in MATLAB 36

2.9 Accelerating MATLAB Functions 52

Exercises 60

References 63

3 MATLAB Applications in Scientific Computations 65

3.1 Analytical and Numerical Solutions 66

3.2 Solutions to Linear Algebra Problems 67

3.3 Solutions of Calculus Problems 85

3.4 Solutions of Ordinary Differential Equations 91

3.5 Nonlinear Equation Solutions and Optimization 110

3.6 Dynamic Programming and its Applications in Path Planning 120

3.7 Data Interpolation and Statistical Analysis 124

Exercises 136

References 142

4 Mathematical Modeling and Simulation with Simulink 145

4.1 Brief Description of the Simulink Block Library 146

4.2 Simulink Modeling 159

4.3 Model Manipulation and Simulation Analysis 164

4.4 Illustrative Examples of Simulink Modeling 172

4.5 Modeling, Simulation and Analysis of Linear Systems 180

4.6 Simulation of Continuous Nonlinear Stochastic Systems 184

Exercises 188

References 191

5 Commonly Used Blocks and Intermediate-level Modeling Skills 193

5.1 Commonly Used Blocks and Modeling Skills 193

5.2 Modeling and Simulation of Multivariable Linear Systems 202

5.3 Nonlinear Components with Lookup Table Blocks 209

5.4 Block Diagram Based Solutions of Differential Equations 217

5.5 Output Block Library 226

5.6 Three-dimensional Animation of Simulation Results 238

5.7 Subsystems and Block Masking Techniques 245

Exercises 260

References 264

6 Advanced Techniques in Simulink Modeling and Applications 265

6.1 Command-line Modeling in Simulink 265

6.2 System Simulation and Linearization 272

6.3 S-function Programming and Applications 280

6.4 Examples of Optimization in Simulation: Optimal Controller Design Applications 296

Exercises 303

References 306

7 Modeling and Simulation of Engineering Systems 307

7.1 Physical System Modeling with Simscape 308

7.2 Description of SimPowerSystems 318

7.3 Modeling and Simulation of Electronic Systems 322

7.4 Simulation of Motors and Electric Drive Systems 336

7.5 Modeling and Simulation of Mechanical Systems 346

Exercises 360

References 362

8 Modeling and Simulation of Non-Engineering Systems 363

8.1 Modeling and Simulation of Pharmacokinetics Systems 363

8.2 Video and Image Processing Systems 376

8.3 Finite State Machine Simulation and Stateflow Applications 390

8.4 Simulation of Discrete Event Systems with SimEvents 408

Exercises 416

References 417

9 Hardware-in-the-loop Simulation and Real-time Control 419

9.1 Simulink and Real-Time Workshop 419

9.2 Introduction to dSPACE and its Blocks 429

9.3 Introduction to Quanser and its Blocks 430

9.4 Hardware-in-the-loop Simulation and Real-time Control Examples 433

9.5 Low Cost Solutions with NIAT 439

9.6 HIL Solutions with Even Lower Costs 446

9.6.3 The MESABox 449

Exercises 450

References 451

Appendix: Functions and Models 453

Index 459