Training - Courses

SL01-A: Simulink for Automotive System Design

This course is equivalent to Simulink for System and Algorithm Modeling. It is designed for automotive engineers who are new to system and algorithm modeling and design validation in the Simulink environment. It applies basic modeling techniques and tools to developing Simulink bock diagrams, including:

Modeling continuous-time, single- and multirate discrete-time, and hybrid systems
Understanding model hierarchy
Executing a condition-based system
Automating model simulations
Developing custom blocks and libraries

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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: Describe the model-based design process and system modeling in Simulink. System modeling with the Simulink environment Model-Based Design with Simulink Electronic Throttle Control model
Modeling Algebraic Systems	Objective: Use Simulink to model and simulate algebraic systems. Define the potentiometer system Introduce the Simulink interface Create a Simulink model of the potentiometer system Simulate the model and analyze results
Modeling Logical Systems	Objective: Use Simulink to model and simulate logical systems Define the logical system Create a Simulink model for the logical system Introduce zero crossing Simulate the model and analyze the results Model the system with Embedded MATLAB
Modeling Continuous Systems	Objective: Use Simulink to model and simulate continuous systems. Define the throttle system Create a Simulink model for the throttle system Define continuous states Choose a continuous solver Simulate the model and analyze results

Day 2 of 2
Modeling Discrete Systems	Objective: Use Simulink to model and simulate discrete systems. Define the PI controller system Create a Simulink model for the IP controller Define discrete states Choose a discrete solver Model multirate discrete systems
Modeling Systems with Subsystems	Objective: Use subsystems to combine smaller systems into larger systems and to model signal driven systems. Create and use subsystems Define model callbacks Contrast virtual and nonvirtual subsystems Model conditionally executed subsystems
Combining Models into Diagrams	Objective: Use model reference to combine models Model referencing and subsystems Setup model for reference Model reference simulation modes View signals in reference models Store parameters in referenced models
Creating Custom Blocks and Libraries	Objective: Use masks and libraries to create and distribute custom blocks. Mask blocks Create new libraries Create configurable subsystems Add libraries to the Library Browser Compare libraries and model referencing

Prerequisites

MATLAB for Automotive Applications (ML01-A) or the equivalent.

Course Length - 2 days

Price - $1,100.00

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Training - Courses

SL01-A: Simulink for Automotive System Design

Prerequisites

2008 Training Course Brochure