Simulink Training Course

Introduction

Overview of Simulink Features and Architecture

• Model-based design with Simulink
• MATLAB versus Simulink
• Benefits of using Simulink
• Simulink add-ons

Getting Started with Simulink

• User interface and block libraries
• Creating and editing a model
• System inputs and outputs definition
• Simulating models

Modeling Discrete Dynamical Systems

• Modeling with basic blocks
• Using frames and buffers
• Frames versus multichannel signals
• Frame-based signals
• Multichannel frame-based signals

Modeling Logical Expressions

• Simple logical expressions
• Conditional signal routing
• Zero-crossing detection
• Using MATLAB function block

Modeling from an Algorithm

• Algorithmic specifications modeling
• Iterative development with Simulink
• Model verification

Modeling Mixed-Signal Systems

• Mixed-signal model examples
• Modeling ADC

Solving Models with Simulink Solver

• Single models
• Discrete and continuous states
• Multiple rates
• Fixed-step and variable-step
• Handling zero crossings and algebraic loops

Working with Simulink Subsystems and Libraries

• Creating subsystems (virtual and atomic subsystems)
• Creating configurable subsystems
• Creating custom block libraries
• Modeling conditionally executed subsystems
• Condition-driven systems (enabled and triggered subsystems)

Performing Spectral Analysis with Simulink

• Spectrum Scope block analysis
• Choosing analysis parameters
• Power spectrum analysis (motor noise)
• Discrete system frequency response

Modeling Multirate Systems

• Blocks for multirate signal processing
• Resampling oversampled data
• Designing and converting model filters
• Anti-imaging and anti-aliasing filters
• Multirate filter blocks

Exploring Advanced Simulink Topics

• Importing MATLAB or C codes into a model
• Model integration for large-scale projects
• Automating modeling tasks

Troubleshooting

Summary and Conclusion