Introduction to Model-Based Systems Design
Introduction to model-based system design: Model-in-the-Loop (MIL), Software-in-The-Loop Simulations (SIL), Hardware-in-the-Loop (HIL), Real-Time Simulations, Targeting, Verification and Validation, Design of Experiments, Model Refinement.
After successfully completing this course the student should be able to:
- Build mathematical models for components in a system.
- Follow a process of continuous refinement and improvement to generate accurate models.
- Connect component models together to model a larger more complex system.
- Setup and run Model-in-the-Loop Simulations (MIL).
- Setup and run real-time simulations for a physical system.
- Setup and run Hardware-in-the-Loop Simulations (HIL).
- Apply basic control algorithms to a real physical system.
- Deploy a control algorithm on a real-time target.
- Apply verification and validation methods to a model of a physical systems.
- Use Design of Experiment methods to create models of physical systems.
- Model-Based Design fora small system
- Motor Model
- Generator Model
- Controller Model
- SimDriveline Intro
- Simulink Simulations
- Explore the system response using different control methods.
- Tune the system
- Explore system limitations
- Understand and refine motor models.
- Real-time simulations with xPC
- Plant and Controller Implement on Single Target
- Implement controller on MPC566 or MPC5554 target
- Install hardware and software.
- Use Freescale RAppID Toolboxor MathWorks 555 Toolbox
- Wire up system to familiarize students with pin outs
- Explore analog inputs,digital and PWM outputs
- Processor In The Loop Real-Time Simulations
- Controller on Freescale Target
- Plant on Real-Time Target
- Display Performance on Virtual Gauge Display
- Data Collection of Performance
- Test controller on real system
- Observe system performance
- Observe the effect of different control methods.
- Tune the system
- Model Verification
- Data Collection of Physical Model Response
- Comparison of Physical Plant Response to Model Response
- Design of Experiments to Collect Experimental Data on Motor and Generator
- Automatically Generate Test Schedule to Obtain Data
- Run Experiments and Collect Data
- Generate Models for Components
- Curve Fits
- Model Refinement and Re-Verification
- Update Models to Include Measured Data
- Comparison of Updated Physical Plant to Model
- Further Exploration of Alternate Control Methods as Time Permits