News

First Session will be on 26.10.2017 / 13:00-15:00 @Room 03.07.011

The preliminary talk took place on 11th of July 2017, 14:30 - 15:30 at 01.11.018 on the first floor. Slides

Description & Learning Outcome

This lab course aims to introduce the students, through hands on project with the basics of the Deterministic Networking, existing solutions to implement a deterministic networking environment beside a deep understanding of Ethernet POWERLINK as one of the widely used real-time protocols for standard Ethernet. The students will get familiar with the openPOWERLINK stacks and at the end, they will learn how to implement them on a table demonstrator formed of a set of embedded devices, sensors and switches in order to acquire the deterministic behavior in their network infrastructure. The main structure of this lab course will be as follow:

• Introduction and Basics:
  • Deterministic Networking
  • Hard Real-Time Requirements

• Theoretical:
  • Presentation of a Chosen Topic
  • Final Report

• openPOWERLINK:
  • POWERLINK Data Link Layer
  • openPOWERLINK Development Toolchain
  • Tracing POWERLINK with Wireshark
  • Comparison Between POWERLINK and TSN, PROFINET, CANopen, EtherCAT
  • Open Discussion on the Comparisons
  • Technical Report on the Evaluation and Open Discussion

• Practical:
  • Table Demo Including Set of Raspberry PIs, BeagleBone, Sensors
  • Hands on Practical Projects for Real-Time Technologies
  • Costumizing the openPOWERLINK Stack
  • Controlling the I/O of an Industrial Module Using POWERLINK
  • Getting Familiar with Cyclic openPOWERLINK Operation
  • TSN (Time Sensitive Networking) Technology

Prerequisites

NOTE: This lab is suitable for students in their late Bachelor (4th semester or higher), as well as Masters students.

You should be self-motivated, creative and able to work as part of a team on presentation, writing technical reports and implementation. You should bring basic technical knowledge about:

• Embedded Systems/Devices
• TCP/IP Networking
• Network Monitoring (e.g. Wireshark)
• Deterministic Networking
• Linux: Raspbian/Ubuntu
• Python / C
• Sensor Data Acquisition

Having background in Automotive E/E architecture is a plus

Material