Simulink Training Course

Introduction

Overview of Simulink Features and Architecture

• Model-based design utilizing Simulink
• Comparing MATLAB and Simulink
• Advantages of leveraging Simulink
• Available Simulink add-ons

Getting Started with Simulink

• Exploring the user interface and block libraries
• Creating and refining models
• Defining system inputs and outputs
• Running model simulations

Modeling Discrete Dynamical Systems

• Modeling using fundamental blocks
• Implementing frames and buffers
• Distinguishing between frames and multichannel signals
• Handling frame-based signals
• Working with multichannel frame-based signals

Modeling Logical Expressions

• Constructing simple logical expressions
• Managing conditional signal routing
• Detecting zero-crossing events
• Utilizing the MATLAB function block

Modeling from an Algorithm

• Translating algorithmic specifications into models
• Employing iterative development techniques in Simulink
• Verifying model accuracy

Modeling Mixed-Signal Systems

• Examples of mixed-signal modeling
• Modeling Analog-to-Digital Converters (ADC)

Solving Models with Simulink Solver

• Configuring single models
• Managing discrete and continuous states
• Handling multiple rates
• Choosing between fixed-step and variable-step methods
• Addressing zero crossings and algebraic loops

Working with Simulink Subsystems and Libraries

• Building virtual and atomic subsystems
• Designing configurable subsystems
• Developing custom block libraries
• Modeling conditionally executed subsystems
• Configuring condition-driven systems (enabled and triggered subsystems)

Performing Spectral Analysis with Simulink

• Analyzing data with the Spectrum Scope block
• Selecting appropriate analysis parameters
• Conducting power spectrum analysis (e.g., motor noise)
• Evaluating discrete system frequency response

Modeling Multirate Systems

• Utilizing blocks for multirate signal processing
• Resampling oversampled data
• Designing and converting model filters
• Implementing anti-imaging and anti-aliasing filters
• Applying multirate filter blocks

Exploring Advanced Simulink Topics

• Integrating MATLAB or C code into models
• Model integration for large-scale projects
• Automating modeling workflows

Troubleshooting

Summary and Conclusion