Training - Courses

SLBE-A: Simulink for Automotive System Design

This course is for automotive 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. Specifically, students will learn how to:

Create and modify Simulink models and simulate system dynamics
Model continuous-time, discrete-time, and hybrid systems
Modify solver settings for simulation accuracy and speed
Build hierarchy into a Simulink model
Create reusable model components using subsystems, libraries, and model references

If your application is signal processing or communications, please refer to the Simulink for Signal Processing course (SLBE-G).

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	Detailed course outline

Day 1 of 2
Introduction	Objective: Obtain a quick overview of The MathWorks and discuss course logistics.
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
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
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
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
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

Day 2 of 2
Solver Selection	Objective: Select a solver that is appropriate for a given Simulink model. Solver options Discrete solvers Continuous solvers Zero-crossing detection Algebraic loops
Developing Model Hierarchy	Objective: Use subsystems to combine smaller systems into larger systems. Subsystems Bus signals Masks
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
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
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
Conclusion	Objective: Find resources for further information and training on the topic. Evaluate the class. Resources Related training courses Evaluations

Prerequisites

MATLAB for Automotive Applications or the equivalent.

Course Length - 2 days

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