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Comprehensive Simulink
Comprehensive introduction to Simulink tools for system modeling and design
Complimentary Services: Post training email support & 1-hr consultation session within 1 month after the course completion!
Course
Highlights
This three-day comprehensive hands-on course package is especially designed for beginners new to Simulink. Beginning with an introduction to Simulink environment, the course will first provide the essential knowledge required to build basic modeling techniques and tools to developing Simulink block diagrams. Participants will be provided with a working understanding of system and algorithm modeling and design validation in Simulink.
The last part of the course shall cover effective system modeling techniques to improve user’s ability to model using Simulink and highlight which tools are most appropriate for certain applications.
Topics include:
- Creating and modifying Simulink models and simulating system dynamics
- Modeling continuous-time, discrete-time, and hybrid system
- Modifying solver settings for simulation accuracy and speed
- Building hierarchy into a Simulink model
- Creating reusable model components using subsystems, libraries, and model references
- Automating modeling tasks
- Calling MATLAB code from Simulink
Who Should
Attend
This hands-on course is designed for engineers who are new to the Simulink environment. Engineers, researchers, scientists, and managers working with systems level design will be shown an easy-to-use approach in using Simulink.
Course
Prerequisites
MATLAB Fundamentals
Course
Benefits
Upon the completion of the course, the participants will gain a comprehensive understanding of system and algorithm modeling and design validation in Simulink, which is useful for designing and building their systems.
Partners
Upcoming Program
- Please keep me posted on the next schedule
- Please contact me to arrange customized/ in-house training
Course Outline
Creating and Simulating a Model
Objective: Create a simple Simulink model, simulate it, and analyze the results.
- Introduction to the Simulink interface
- Potentiometer system
- System inputs and outputs
- Simulation and analysis
Modeling Programming Constructs
Objective: Model and simulate basic programming constructs in Simulink.
- Comparisons and decision statements
- Vector signals
- PWM conversion system
- Zero crossings
- MATLAB Function block
Modeling Discrete Systems
Objective: Model and simulate discrete systems in Simulink.
- Discrete signals and states
- PI controller system
- Discrete transfer functions and state-space systems
- Multirate discrete systems
Modeling Continuous Systems
Objective: Model and simulate continuous systems in Simulink.
- Continuous states
- Throttle system
- Continuous transfer functions and state-space systems
- Physical boundaries
Solver Selection
Objective: Select a solver that is appropriate for a given Simulink model.
- Solver behavior
- System dynamics
- Discontinuities
- Algebraic loops
Developing Model Hierarchy
Objective: Use subsystems to combine smaller systems into larger systems.
- Subsystems
- Bus signals
- Masks
- Getting help
- Creating and running scripts
Modeling Conditionally Executed Algorithms
Objective: Create subsystems that are executed based on a control signal input.
- Conditionally executed subsystems
- Enabled subsystems
- Triggered subsystems
- Input validation model
Combining Models into Diagrams
Objective: Use model referencing to combine models.
- Subsystems and model referencing
- Model referencing workflow
- Model reference simulation modes
- Model workspaces
- Model dependencies
Creating Libraries
Objective: Use libraries to create and distribute custom blocks.
- Creating and populating libraries
- Managing library links
- Adding a library to the Simulink Library Browser
Debugging Simulink Models
Objective: Learn ways to debug Simulink Models
- Simulation Stepper
- Breakpoints
- Signal Values
- Simulink Debugger
Rate Transitions in Multirate Models
Objective: Understand the concepts of rate transitions in multirate models.
- Understanding rate transitions
- Rate transitions in variable-step solvers
- Rate transitions in fixed-step solvers
Automating Modeling Tasks
Objective: Learn ways to automatically test and run the Simulink model.
- Simulating the model using command line
- Accessing simulation output data
- Automating test runs
- Checking and modifying settings
Calling MATLAB Code from Simulink
Objective: Integrate MATLAB code into Simulink models.
- Writing a MATLAB function in a MATLAB function block
- Converting a MATLAB function to a MATLAB function block
- MATLAB function block coding standards