- Knowledge of MATLAB concepts and fundamentals
- A general understanding of signal processing
Audience
- Engineers
- Scientists
Simulink is a model-based design platform that provides an interactive modeling and simulation environment for engineers and scientists. Simulink helps users design, simulate, and analyze various systems before moving to hardware. Simulink is an add-on product to MATLAB.
This instructor-led, live training (online or onsite) is aimed at engineers and scientists who wish to install, implement, and manage Simulink capabilities for system modeling and simulation.
By the end of this training, participants will be able to model, simulate, solve, and analyze dynamical systems using Simulink.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
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