Simulink Training Course

Introduction

Overview of Simulink Features and Architecture

• Model-based design with Simulink for government applications
• Differences between MATLAB and Simulink
• Advantages of using Simulink in public sector workflows
• Simulink add-ons for enhanced functionality

Getting Started with Simulink

• User interface and block libraries for government use
• Creating and editing models to meet agency requirements
• Defining system inputs and outputs for public sector projects
• Simulating models to ensure accuracy and reliability

Modeling Discrete Dynamical Systems

• Using basic blocks for discrete dynamical systems in government applications
• Incorporating frames and buffers for efficient data handling
• Distinguishing between frames and multichannel signals
• Working with frame-based signals for enhanced performance
• Modeling multichannel frame-based signals for complex systems

Modeling Logical Expressions

• Creating simple logical expressions to support decision-making processes
• Implementing conditional signal routing for dynamic system responses
• Utilizing zero-crossing detection for precise control
• Leveraging the MATLAB function block for custom logic in government models

Modeling from an Algorithm

• Translating algorithmic specifications into Simulink models for government projects
• Iterative development processes to refine and improve models
• Verifying model accuracy through rigorous testing and validation

Modeling Mixed-Signal Systems

• Examples of mixed-signal models in public sector applications
• Modeling analog-to-digital converters (ADC) for data acquisition systems

Solving Models with Simulink Solver

• Addressing single models for straightforward simulations
• Handling discrete and continuous states for comprehensive system analysis
• Managing multiple rates to ensure accurate timing in complex models
• Utilizing fixed-step and variable-step solvers for optimal performance
• Resolving zero crossings and algebraic loops for robust simulations

Working with Simulink Subsystems and Libraries

• Creating virtual and atomic subsystems to organize model components
• Developing configurable subsystems to support flexible design requirements
• Building custom block libraries tailored for government use
• Modeling conditionally executed subsystems for dynamic behavior
• Implementing condition-driven systems (enabled and triggered subsystems) for responsive models

Performing Spectral Analysis with Simulink

• Analyzing power spectra using the Spectrum Scope block for government projects
• Selecting appropriate analysis parameters to meet specific needs
• Conducting power spectrum analysis (e.g., motor noise) to enhance system performance
• Evaluating discrete system frequency response for precise control

Modeling Multirate Systems

• Selecting blocks for multirate signal processing in government applications
• Resampling oversampled data to improve efficiency
• Designing and converting model filters for optimal performance
• Incorporating anti-imaging and anti-aliasing filters to maintain signal integrity
• Utilizing multirate filter blocks to support diverse system requirements

Exploring Advanced Simulink Topics

• Importing MATLAB or C codes into models for enhanced functionality in government projects
• Facilitating model integration for large-scale public sector initiatives
• Automating modeling tasks to streamline development processes

Troubleshooting

Summary and Conclusion