Simulink Training Course

Introduction

Overview of Simulink Features and Architecture

• Model-based design principles in Simulink
• Comparing MATLAB and Simulink
• Key benefits of utilizing Simulink
• Available Simulink add-ons

Getting Started with Simulink

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

Modeling Discrete Dynamical Systems

• Constructing models with fundamental blocks
• Utilizing frames and buffers
• Distinguishing between frames and multichannel signals
• Handling frame-based signals
• Managing multichannel frame-based signals

Modeling Logical Expressions

• Implementing simple logical expressions
• Conditional signal routing strategies
• Detecting zero crossings
• Incorporating the MATLAB function block

Modeling from an Algorithm

• Translating algorithmic specifications into models
• Iterative development workflows in Simulink
• Verification of models

Modeling Mixed-Signal Systems

• Case studies in mixed-signal modeling
• Modeling Analog-to-Digital Converters (ADC)

Solving Models with Simulink Solver

• Simulating single models
• Managing discrete and continuous states
• Handling multiple time rates
• Configuring fixed-step and variable-step solvers
• Addressing zero crossings and algebraic loops

Working with Simulink Subsystems and Libraries

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

Performing Spectral Analysis with Simulink

• Analyzing using the Spectrum Scope block
• Selecting appropriate analysis parameters
• Power spectrum analysis (e.g., motor noise)
• Evaluating discrete system frequency responses

Modeling Multirate Systems

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

Exploring Advanced Simulink Topics

• Integrating MATLAB or C code into models
• Integrating models for large-scale projects
• Automating routine modeling tasks

Troubleshooting

Summary and Conclusion