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Course Outline
- Foundational Principles
- Navigation of the MATLAB® computing environment
- Core mathematical operations for control system analysis via MATLAB®
- Data visualization and graphical representation techniques
- Scripting and programming fundamentals in MATLAB®
- Graphical User Interface (GUI) development in MATLAB® (optional)
- Overview of control systems and mathematical modeling frameworks in MATLAB®
- Application of control theory principles within MATLAB®
- Introduction to dynamic systems modeling using SIMULINK®
- Model-Driven Development (MDD) methodologies in the automotive sector
- Comparison of Model-Based and Manual Development Approaches
- Development of test harnesses for automotive software validation
- Simulation stages: Model-in-the-Loop (MIL), Software-in-the-Loop (SIL), and Hardware-in-the-Loop (HIL)
- Toolsets for model-based development and verification in automotive engineering
- Case Study: Matelo verification tool
- Case Study: Reactis verification tool
- Case Study: Verification and testing using Simulink/Stateflow and SystemTest
- Simulation internals: Configuration of signals, subsystems, parameters, and execution modes (Examples)
- Conditionally executed subsystem configurations
- Enabled subsystem configurations
- Triggered subsystem configurations
- Input validation modeling protocols
- Stateflow implementation for automotive applications (Automotive Body Controller case study) - Examples
- Model creation and simulation execution procedures
Objective: Construct a basic Simulink model, execute simulation runs, and interpret resulting data.
- Specification of potentiometer system parameters
- Familiarization with the Simulink interface architecture
- Development of the potentiometer system model
- Simulation execution and performance analysis
- Modeling Programming Constructs Objective:
- Implement and simulate fundamental programming logic within Simulink
- Logical comparisons and conditional statements
- Zero-crossing detection mechanisms
- Implementation of MATLAB Function blocks
Objective: Model and simulate discrete-time systems within Simulink.
- Definition of discrete state variables
- Development of a Proportional-Integral (PI) controller model
- Implementation of discrete transfer functions and state-space representations
- Construction of multi-rate discrete systems
Objective: Model and simulate continuous-time systems within Simulink.
- Development of a throttle system model
- Definition of continuous state variables
- Simulation execution and result analysis
- Modeling of impact dynamics
Solver Configuration: Selection of appropriate numerical solvers for specific Simulink model requirements.
- Analysis of solver behavior and stability
- Assessment of system dynamics
- Handling of system discontinuities
- Resolution of algebraic loops
- Overview of the Mathworks® Automotive Advisory Board (MAAB) guidelines - Examples
- Introduction to the AUTOSAR architecture standard
- Modeling of AUTOSAR Software Components (SWCs) using Simulink®
- Simulink toolboxes dedicated to automotive systems engineering
- Hydraulic cylinder simulation case studies - Examples
- Introduction to SimDriveline components (Clutch and Gear Models) (Optional) - Examples
- Anti-Lock Braking System (ABS) modeling (Optional) - Examples
- Principles of automated code generation for embedded systems - Examples
- Verification techniques for model integrity - Examples
- Engine Dynamics Model (Practical Simulink Implementation)
- Anti-Lock Braking System Model (Practical Simulink Implementation)
- Transmission Engagement Model (Practical Simulink Implementation)
- Suspension System Model (Practical Simulink Implementation)
- Hydraulic System Model (Practical Simulink Implementation)
- Advanced Systems Engineering with Simulink and Stateflow enhancements
- Fault-Tolerant Fuel Control System Model (Practical Simulink Implementation)
- Automatic Transmission Control Model (Practical Simulink Implementation)
- Electrohydraulic Servo Control Model (Practical Simulink Implementation)
- Stick-Slip Friction Model (Practical Simulink Implementation)
Requirements
Participants are expected to possess foundational knowledge of Simulink for government training programs.
14 Hours
