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Workshop On lego® mindstorms® nxt with matlab and Simulink for Teaching Controls, Robotics and Mechatronics sefi 2013 September 17th 2013, 10: 00 – 13: 00 Leuven, Belgium Workshop/Tutorial Abstract


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Workshop On

LEGO® MINDSTORMS® NXT with MATLAB and Simulink for Teaching Controls, Robotics and Mechatronics

SEFI 2013

September 17th 2013, 10:00 – 13:00 Leuven, Belgium



Workshop/Tutorial Abstract:
This workshop describes the built-in support for prototyping, testing, and running Simulink models on LEGO® MINDSTORMS® NXT. This platform aims to address the growing need for hands-on and project-based learning via a low-cost, easy to use hardware and software platform that builds on the widely used MATLAB & Simulink platform.
The Simulink built-in support for hardware enables students to access the hardware capabilities of the 32-bit LEGO NXT brick from within Simulink environment, and to automatically generate and cross-compile the necessary code for real time autonomous implementation.  Faculty who attend will have a chance to work through lab modules with examples of embedded genetic algorithms, motor speed control and mobile inverted pendulum. They will have an opportunity to gain practical hands-on experience in building such high-level examples themselves, and by extension understand the potential for use in the classroom with undergraduate students.
Presenter(s):

Mischa Kim, Ph.D., MathWorks

mischa.kim@mathworks.com 

Andreas Håkansson, Ph.D., MathWorks

andreas.hakansson@mathworks.com

Hardware required:

  • LEGO® MINDSTORMS® NXT (provided by MathWorks for this session)

  • PC computers running MATLAB / Simulink R2013a (provided by conference organizers for this session)


Expected Number of Attendees: 20 maximum
Session Outline:
Introduction to Simulink and HW Support for Project Based Learning – 20 min

  • Overview of the Simulink built-in support for LEGO® MINDSTORMS® NXT

  • Advances in low-cost embedded hardware

  • Building models in Simulink

  • Using MATLAB code in Simulink

  • Simulink for Model-Based Design of embedded or real-time applications

  • Rapid Prototyping and Automatic Code Generation tools


Example lab module 1 – 60 min

Key Concepts:  System configuration and data types
Example lab module 2 – 90 min

Key Concepts: Implementing feedback control, configuring a model, working with data types
Wrap-up
Expected Background of Participants:

Basic knowledge of dynamics modeling and controls. Knowledge of MATLAB.




2013 ASCC




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