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