Simulink Training Course

Introduction

Overview of Simulink Capabilities and Structural Architecture

• Model-based design methodology in Simulink
• Differentiating MATLAB and Simulink
• Operational advantages of Simulink
• Simulink extension packages

Initiating Simulink Implementation

• User interface and block library navigation
• Model creation and modification processes
• Defining system input and output parameters
• Executing model simulations

Modeling Discrete Dynamical Systems

• Construction using fundamental blocks
• Application of frames and buffers
• Comparing frames and multichannel signals
• Frame-based signal structures
• Advanced multichannel frame-based signals

Modeling Logical Constructs

• Basic logical statement implementation
• Conditional signal path management
• Zero-crossing event detection
• Integration of MATLAB function blocks

Algorithm-Driven Modeling

• Modeling from algorithmic specifications
• Iterative development workflows in Simulink
• Model validation procedures

Modeling Mixed-Signal Architectures

• Illustrative mixed-signal model cases
• Analog-to-Digital Converter (ADC) modeling

Resolving Models via the Simulink Solver

• Single model resolution
• Managing discrete and continuous states
• Multi-rate processing
• Fixed-step and variable-step configurations
• Mitigating zero crossings and algebraic loops

Managing Simulink Subsystems and Libraries

• Establishing subsystems (virtual and atomic types)
• Configuring adaptive subsystems
• Developing proprietary block libraries
• Modeling conditionally executed subsystems
• Condition-based systems (enabled and triggered modes)

Executing Spectral Analysis with Simulink

• Spectrum Scope block assessment
• Selection of analytical parameters
• Power spectrum evaluation (e.g., motor noise)
• Frequency response of discrete systems

Modeling Multirate Systems

• Blocks dedicated to multirate signal processing
• Resampling of oversampled data
• Filter design and model conversion
• Anti-imaging and anti-aliasing filter implementation
• Specialized multirate filter blocks

Advanced Simulink Applications

• Incorporating MATLAB or C code into models
• Integrating models for extensive projects
• Automation of modeling tasks

Diagnostic Procedures

Summary and Conclusions