Enabling Project-Based Learning with MATLAB, Simulink, and Target Hardware

Todd Atkins, MathWorks

Project-based learning is effective because students can see, hear, and touch what would otherwise be very abstract. In this presentation, we show how you can use MATLAB and Simulink to prototype, test, and run models on a broad range of low-cost target hardware in courses focused on:

  • Mechatronics
  • Circuit design
  • Programming
  • Controls
  • Robotics
  • Renewable energy

New with Release 2012a, Simulink can automatically generate standalone applications to run in real time on the BeagleBoard and LEGO® MINDSTORMS® NXT hardware platforms without the need for MATLAB Coder or Simulink Coder™. Using this new capability, we explore integrating simulation and hardware to show the following concepts:

  • Reading sensors and writing to actuators
  • Interactive prototyping of algorithms for control and signal processing
  • Testing algorithms with physical hardware components
  • Deploying real-time algorithms to standalone hardware
  • Integrating algorithms with robots and real-world systems

Product Focus

  • MATLAB

Recorded: 28 Mar 2012