Knowledge-based cyber-physical systems for assembly automation

Current assembly systems are handling the increased requirements for mass customization with difficulties and need to be updated with new approaches and technologies. Cyber-Physical Systems (CPS) auto-configuration is regarded as an important asset towards automation components, which autonomously e...

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Veröffentlicht in:Production & manufacturing research 2019-01, Vol.7 (1), p.223-254
Hauptverfasser: Merdan, Munir, Hoebert, Timon, List, Erhard, Lepuschitz, Wilfried
Format: Artikel
Sprache:eng
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Zusammenfassung:Current assembly systems are handling the increased requirements for mass customization with difficulties and need to be updated with new approaches and technologies. Cyber-Physical Systems (CPS) auto-configuration is regarded as an important asset towards automation components, which autonomously embed themselves into the system. In this context, knowledge-based technologies pave the way for highly flexible and reconfigurable CPS. This paper introduces and demonstrates a model-driven engineering approach for automatically configuring the control layer of a CPS based on knowledge representation of the environment and component capabilities. The approach encompasses a control architecture that is tested in two industrial use cases. The first case employs a configuration infrastructure for control software based on IEC 61499 to automatically configure the hardware-near control layer of a CPS within an assembly line. The second case is concerned with autonomously generating assembly plans, which are then transformed into actions that an industrial robot sequentially executes.
ISSN:2169-3277
2169-3277
DOI:10.1080/21693277.2019.1618746