Model-Driven Design and Development of Flexible Automated Production Control Configurations for Industry 4.0
| Autor: | Aintzane Armentia, Alejandro López, Unai Gangoiti, Marga Marcos, Elisabet Estevez |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Computer science Distributed computing 02 engineering and technology lcsh:Technology lcsh:Chemistry 020901 industrial engineering & automation multi agent system Control theory 0202 electrical engineering electronic engineering information engineering General Materials Science lcsh:QH301-705.5 Instrumentation model driven engineering Fluid Flow and Transfer Processes Flexibility (engineering) lcsh:T business.industry Process Chemistry and Technology Multi-agent system 020208 electrical & electronic engineering General Engineering Programmable logic controller Control reconfiguration Automation lcsh:QC1-999 Computer Science Applications lcsh:Biology (General) lcsh:QD1-999 I4.0 components lcsh:TA1-2040 Production control Control system flexible automation production systems lcsh:Engineering (General). Civil engineering (General) business lcsh:Physics |
| Zdroj: | Addi. Archivo Digital para la Docencia y la Investigación instname Applied Sciences Volume 11 Issue 5 Addi: Archivo Digital para la Docencia y la Investigación Universidad del País Vasco Applied Sciences, Vol 11, Iss 2319, p 2319 (2021) |
| Popis: | The continuous changes of the market and customer demands have forced modern automation systems to provide stricter Quality of service (QoS) requirements. This work is centered in automation production system flexibility, understood as the ability to shift from one controller configuration to a different one, in the most quick and cost-effective way, without disrupting its normal operation. In the manufacturing field, this allows to deal with non-functional requirements such as assuring control system availability or workload balancing, even in the case of failure of a machine, components, network or controllers. Concretely, this work focuses on flexible applications at production level, using Programmable Logic Controllers (PLCs) as primary controllers. The reconfiguration of the control system is not always possible as it depends on the process state. Thus, an analysis of the system state is necessary to make a decision. In this sense, architectures based on industrial Multi Agent Systems (MAS) have been used to provide this support at runtime. Additionally, the introduction of these mechanisms makes the design and the implementation of the control system more complex. This work aims at supporting the design and development of such flexible automation production systems, through the proposed model-based framework. The framework consists of a set of tools that, based on models, automate the generation of control code extensions that add flexibility to the automation production system, according to industry 4.0 paradigm. This work was financed by MCIU/AEI/FEDER, UE (grant number RTI2018-096116-B-I00) and by GV/EJ (grant number IT1324-19). |
| Databáze: | OpenAIRE |
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