ANZCC 2017 Paper Abstract

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Paper TuAOr.3

Schulze, Darina (Institut f. Automation und Kommunikation e.V. Magdeburg), Rauchhaupt, Lutz (Institut f. Automation und Kommunikation e.V. Magdeburg), Jumar, Ulrich (Institut f. Automation und Kommunikation e.V. Magdeburg)

Coexistence for Industrial Wireless Communication Systems in the Context of Industrie 4.0

Scheduled for presentation during the Regular Session "System Modelling and Identification" (TuAOr), Tuesday, December 19, 2017, 10:30−10:45, Room 7

2017 Australian and New Zealand Control Conference, December 17-20, 2017, Gold Coast Convention Centre, Australia

This information is tentative and subject to change. Compiled on April 25, 2024

Keywords System Modelling and Identification, Control Applications, Factory Modelling and Automation

Abstract

Several wireless communication systems operating in parallel are typical for industrial applications. These systems have to be coexistent to ensure, that every application communication requirement is fulfilled. Ensuring this coexistence is called coexistence management. We want to develop an automated coexistence management with control engineering considerations, which is not considered in current approaches yet. In this contribution we investigate the nominal (interference-free) plant model with several wireless communication systems. We use timed Petri-net approaches in max-plus algebra for modelling the time behaviour of message transmissions. We parametrize this model with real measurements in a 2.4 GHz frequency spectrum within a WiFi test environment according to a predefined test case scenario.

 

 

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