Flexible, Self-configuring Control System for a Modular Production System

Scheifele, Stefan; Friedrich, Jens; Lechler, Armin; Verl, Alexander

doi:10.1016/j.protcy.2014.09.094

Cited by 26 publications

(9 citation statements)

References 10 publications

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“…Scheifele [1] presents a memory concept for modular production systems with exchangeable process modules, which contain their configuration and provide a module-description and their I/O capabilities. Friedrich [2] shows a decentralized approach for a standardized description of automation modules.…”

Section: Related Workmentioning

confidence: 99%

Collaborative and robot-based plug & produce for rapid reconfiguration of modular production systems

Wojtynek

Oestreich

Beyer³

et al. 2017

2017 IEEE/SICE International Symposium on System Integration (SII)

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The manufacturing of individualized products down to batch size 1 poses ongoing challenges for the design and integration of future production systems. Today's production lines with a high degree of automation achieve high efficiency, but usually come with high costs for adaptation to product variants. In order to combine full automation with high flexibility, we propose a concept for the dynamic composition of automation components in a modular production system that facilitates the rapid adaptation of collaborative and robotsupported manufacturing processes. To achieve this, we integrate self-descriptive automation components at runtime into the control architecture of the production system using a Plugand-Produce approach. While the location and orientation of automation components in the modular production system are derived from physical human-robot interaction, the adaptation and verification of the robot behavior is made possible through a simulation-based planning subsystem. Once this dynamic reconfiguration process by the machine setter is finished, the adapted production process is executed in a fully automated way with high efficiency. A case study carried out in an industrial collaboration project on flexible assembly demonstrates the benefits of the presented approach.

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Section: Related Workmentioning

confidence: 99%

Collaborative and robot-based plug & produce for rapid reconfiguration of modular production systems

Wojtynek

Oestreich

Beyer³

et al. 2017

2017 IEEE/SICE International Symposium on System Integration (SII)

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“…That is, it changes its parameters to better match the current working mode of the physical object. Thus, there is a real opportunity to identify emerging anomalies in the early stages, to predict the behaviour of the object and to ensure implementation algorithms of dynamic optimisation, which ultimately allows significantly improve the reliability and efficiency of the equipment [1,[3][4][5]. …”

Section: What Is a Digital Twinmentioning

confidence: 99%

Main Principals and Issues of Digital Twin Development for Complex Technological Processes

Ponomarev¹,

Kudryashov²,

Popelnukha³

2017

DAAAM Proceedings

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To provide increasing of effectiveness of industrial systems with achievement of the guaranteed product quality, the manufacturing digital transformation paradigm is applied. According to Industry 4.0 concept, adaptive, client-oriented automatic control of product life cycle is the basic approach in global manufacturing digitalization. Such technologies as Big Data, Cloud Services, advanced analytic algorithms, have to be implemented to provide an effective control for complex technological processes. Therefore, different technologies operating information from Web as well as from field level and top level manufacture information systems should offer high degree of interoperability. This article represents the, so-called, digital twin concept description. The main development issues and paradigms are described, applying to oil refining industry.

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“…SOA principles were embraced by several projects, namely SOCRADES [8], IMC-AESOP [9], ARUM [10], FLEXA [11], SelSus [12], MANUCLOUD [13] and CassaMobile [14], with each one focusing on different ISA95 layers, meaning that they can be applied successfully in industrial automation manufacturing. In a similar way, several projects used MAS as its main technological driver to achieve the decentralization of the control functions, namely GRACE [15], IDEAS [16], PRIME [17] and ARUM projects.…”

Section: Related Work In Distributed Control Systemsmentioning

confidence: 99%

Specification of the PERFoRM architecture for the seamless production system reconfiguration

Leitão

Barbosa

Pereira

et al. 2016

IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society

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The world is assisting to the fourth industrial revolution, with several domains of science and technology being strongly developed and, specially, being integrated with each other, allowing to build evolvable complex systems. Data digitization, big-data analysis, distributed control, Industrial Internet of Things, Cyber-Physical Systems and self-organization, amongst others, are playing an important role in this journey. This paper considers the best practices from previous successful European projects addressing distributed control systems to develop an innovative architecture that can be industrially deployed. For this purpose, a particular design process has to be addressed in order to consider the requirements and functionalities from various use cases. To investigate the known practices, four use cases are enlighted in this paper, which cover a wide spectrum of the European industrial force, as well as industrial standards to support a smooth migration from traditional systems to the emergent distributed systems.

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Flexible, Self-configuring Control System for a Modular Production System

Cited by 26 publications

References 10 publications

Collaborative and robot-based plug & produce for rapid reconfiguration of modular production systems

Collaborative and robot-based plug & produce for rapid reconfiguration of modular production systems

Main Principals and Issues of Digital Twin Development for Complex Technological Processes

Specification of the PERFoRM architecture for the seamless production system reconfiguration

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