With one click, developers can now run Simulink control system and signal processing algorithms in hardware. These popular, low-cost devices are widely used in academia for hands-on teaching of robotics, mechatronics, audio signal processing, computer vision, and other engineering applications. Simulink models can run standalone on these hardware platforms or in tandem with a connected PC.
According to Dr. Farid Golnaraghi, professor and director of Mechatronic Systems Engineering at Simon Fraser University is Simulink built-in support for hardware a big boost to project-based learning. Engineering students who learn control theory by creating and running models in Simulink can now easily test and tune their algorithms on hardware, without knowing embedded systems.
Tom Gaudette, principal academic evangelist at MathWorks adds that multifunction microprocessor boards are a tremendous learning resource. and adding targeted support was a logical step, given the widespread use of Model-Based Design with Simulink in engineering schools and industry. With Simulink and a low-cost Arduino, BeagleBoard, or LEGO MINDSTORMS NXT robot, a student can learn industry best practices for DSP, robotics, and mechatronics design.
Simulink provides built-in support for the following platforms:
- Arduino Uno and Mega 2560 microcontroller boards for robotics, mechatronics, and hardware-connectivity tasks
- BeagleBoard-xM single-board computers for audio, video, and digital signal processing
- LEGO MINDSTORMS NXT robotics platform for robotics applications
More info here.