Abstracts from The Smart Way to Industry 4 with PROFINET Seminars

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Abstracts

Ethernet’s copper physical layer finally unveiled

Frederic Depuydt, KU Leuven (Catholic University of Leuven, Belgium)

The components and basic properties of the 100BASE-TX physical layer for industrial wired ethernet, the “invisible” signal coding (4B/5B, scrambling, MLT3), the actual voltage signals on the copper wires, and some signal and packet measurement methods are discussed. Actual measurements in PROFINET networks illustrate signal properties, bits, bytes and messages.

Redundancy for PROFINET networks

Frederic Depuydt & Philippe Saey, KU Leuven (Catholic University of Leuven, Belgium)

When communication fails, PROFINET IO Devices go to their failsafe state. For more critical networks one could consider creating redundant paths in the PROFINET network. The working principle of industrially available redundant Ethernet technologies such as MRP, PRP and HSR is explained, measurements and some industrial case studies are discussed.

Industrial control cases with MATLAB code in PLCs, using PROFINET’s “oversampling” & “I-Device” features

Philippe Saey, KU Leuven (Catholic University of Leuven, Belgium)

PLCs running code generated from MATLAB/Simulink has recently been promoted heavily on the Hannover Messe and SPS Drives. What is this? How do we use the quite unknown oversampling and I-Device features of PROFINET to even extend the application range? Some basics and use cases from industry to inspire you!

Combining data and power: Power-over-ethernet and Power Line Communication

Jos Knockaert, UGent (Ghent University, Belgium)

Smart technologies need both power and communication. Is combining power and data in one cable a feasible and robust solution for your application? In this lecture, the basic ideas, needed technology and standardisation are explained.

New PI Guidelines for Functional Bonding and Shielding of PROFIBUS and PROFINET (Coventry seminar only)

Peter Thomas, Control Specialists and Chairman of the PROFIBUS and PROFINET International (PI) Training Centres

The ever-increasing use of high-frequency switching devices in industrial automation can result in high-frequency currents circulating in an equipotential bonding network that was not designed for this purpose. The absence of a proven low-impedance bonding network can result in these currents taking alternative and often undesirable routes. Occasionally these will be the shields of industrial network cables such as PROFIBUS and PROFINET that in turn can lead to intermittent communications problems. This presentation will discuss the issues in more detail and will explain the relevance of the recently released PI guidelines “Functional Bonding and Shielding for PROFIBUS and PROFINET”.

EMC and HFPQ for industrial networks (London seminar only)

Jos Knockaert, UGent (Ghent University, Belgium)

The basis for intelligent automation is communication. The increasing use of communication makes industry increasingly vulnerable to interference. This EMC lecture gives an insight into the disturbance mechanism based on real industrial cases and provides you solutions.

IO-Link for the “last metres” communication

Derek Lane – Process Automation Manager – WAGO Ltd (Deputy Chairman – PI-UK)

An overview of IO-Link.  The digital point to point solution for sensor actuators and more, typically using standard 3-wire M12 cables extending fieldbuses such as PROFIBUS and PROFINET for the last 20 meters.

Network Diagnostics

Dave Tomlin, Hitex and Andy Morse, AJM

Take a walk through the process of certifying a new PROFINET (or any other industrial Ethernet) against the standards and see how easy it can be, then look at a few gotchas that can easily be avoided by careful planning.

Designing & virtual commissioning: co-simulation with Siemens NX

David van Os, UGent (Ghent University, Belgium)

Optimizing machines is often a difficult process. Especially during design, since the machine
cannot be tested yet. A realistic virtual twin is created by using Siemens NX (mechanical
modelling) and MATLAB/Simulink (motion controller modelling). Through co-simulation,
this virtual twin is optimized. Afterwards, the results are implemented on the real machine.

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