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Course Outline
- Core Fundamentals
- Navigating the MATLAB® environment
- Essential Mathematics for Control Systems using MATLAB®
- Graphics and Visualization Techniques
- Programming in MATLAB®
- GUI Programming using MATLAB® (optional)
- Introduction to Control Systems and Mathematical Modeling with MATLAB®
- Control Theory application using MATLAB®
- Introduction to System Modeling using SIMULINK®
- Model-Driven Development in the Automotive Sector
- Model-Based versus Model-Free Development Approaches
- Test Harnesses for Automotive Software System Validation
- Model-in-the-Loop, Software-in-the-Loop, and Hardware-in-the-Loop Simulations
- Tools for Model-Based Development and Testing in Automotive
- Case Study: Matelo Tool
- Case Study: Reactis Tool
- Case Study: Simulink/Stateflow Model Verification and SystemTest Tool
- Simulink® Internals (signals, systems, subsystems, simulation parameters, etc.) - Examples
- Conditionally executed subsystems
- Enabled subsystems
- Triggered subsystems
- Input validation models
- Stateflow for Automotive Systems (Automotive Body Controller Application) - Examples
- Creating and Simulating a Model
Create a basic Simulink model, run a simulation, and analyze the output.
- Define the potentiometer system
- Explore the Simulink interface
- Construct a Simulink model of the potentiometer system
- Simulate the model and evaluate results
- Modeling Programming Constructs Objective:
- Model and simulate fundamental programming constructs in Simulink
- Comparisons and decision statements
- Zero-crossing detection
- MATLAB Function block usage
Modeling Discrete Systems Objective:
Model and simulate discrete systems within Simulink.
- Define discrete states
- Create a PI controller model
- Model discrete transfer functions and state-space systems
- Model multirate discrete systems
Modeling Continuous Systems:
Model and simulate continuous systems in Simulink.
- Create a throttle system model
- Define continuous states
- Execute simulations and analyze results
- Model impact dynamics
Solver Selection: Choose an appropriate solver for a given Simulink model.
- Understanding solver behavior
- Analyzing system dynamics
- Handling discontinuities
- Resolving algebraic loops
- Introduction to MAAB (MathWorks® Automotive Advisory Board) - Examples
- Introduction to AUTOSAR
- Modeling AUTOSAR Software Components (SWCs) using Simulink®
- Simulink Toolboxes for Automotive Systems
- Hydraulic Cylinder Simulation - Examples
- Introduction to SimDriveline (Clutch Models, Gear Models) (Optional) - Examples
- Modeling ABS (Optional) - Examples
- Modeling for Automatic Code Generation - Examples
- Model Verification Techniques - Examples
- Engine Model (Practical Simulink Model)
- Anti-Lock Braking System (Practical Simulink Model)
- Engagement Model (Practical Simulink Model)
- Suspension System (Practical Simulink Model)
- Hydraulic Systems (Practical Simulink Model)
- Advanced System Models in Simulink with Stateflow Enhancements
- Fault-Tolerant Fuel Control System (Practical Simulink Model)
- Automatic Transmission Control (Practical Simulink Model)
- Electrohydraulic Servo Control (Practical Simulink Model)
- Modeling Stick-Slip Friction (Practical Simulink Model)
Requirements
Participants are expected to possess foundational knowledge of Simulink.
14 Hours
