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Price 4,228 ILS
DURATION 2 Days
Course Overview
This course is for engineers who are new to system and algorithm modeling and design validation in Simulink®. It demonstrates how to apply basic modeling techniques and tools to develop Simulink block diagrams. Topics include:
- Creating and modifying Simulink models and simulate system dynamics
- Modeling continuous-time, discrete-time, and hybrid systems
- Modifying solver settings for simulation accuracy and speed
- Building hierarchy into a Simulink model
- Creating reusable model components using subsystems, libraries, and model references
Prerequisite:
Knowledge of MATLAB basics.
Course Outline:
1. Introduction
Objective: Obtain a quick overview of The MathWorks and discuss course logistics.
2. Introduction to System Modeling
Objective:Become familiar with system modeling in Simulink and the electronic throttle control system.
- System modeling in the Simulink environment
- Electronic throttle control model
3. Creating and Simulating a Model
Objective: Create a simple Simulink model, run simulations, and analyze the results.
- Define the potentiometer system
- Become familiar with the Simulink interface
- Create a Simulink model of the potentiometer system
- Run simulations and analyze results
4. Modeling Programming Constructs
Objective: Use Simulink to model and simulate basic programming constructs.
- Model comparisons and decision statements
- Create and use vector signals
- Use the Embedded MATLAB Function block
5. Modeling Discrete Systems
Objective: Use Simulink to model and simulate discrete systems.
- Define discrete states
- Create a model of a PI controller
- Model discrete transfer functions and state space systems
- Model multirate discrete systems
6. Modeling Continuous Systems
Objective: Use Simulink to model and simulate continuous systems.
- Define the throttle system
- Create a model for the throttle system
- Define continuous states
- Run simulations and analyze results
- Model impact dynamics
7. Solver Selection
Objective: Select a solver that is appropriate for a given Simulink model.
Objective: Select a solver that is appropriate for a given Simulink model.
- Solver options
- Discrete solvers
- Continuous solvers
- Zero-crossing detection
- Algebraic loops
8. Developing Model Hierarchy
Objective: Use subsystems to combine smaller systems into larger systems.
- Subsystems
- Bus signals
- Masks
9. Combining Models into Diagrams
Objective: Use model reference to combine models.
- Overview of model referencing and subsystems
- Set up a model reference
- Use model reference simulation modes
- View signals in referenced models
- Store parameters in referenced models
10. Creating Libraries
Objective: Use libraries to create and distribute custom blocks.
- Create new libraries
- Create configurable subsystems
- Add libraries to the Library Browser
- Compare libraries and model references
11. Introduction to Model-Based Design
Objective: Discuss how the Simulink environment can be used for Model-Based Design.
- Traditional system design process
- Model-Based Design in the Simulink environment
12. Conclusion
Objective: Find resources for further information and training on the topic. Evaluate the class.
- Resources
- Related training courses
- Evaluations
