SIA OpenIR  > 工业控制网络与系统研究室
Online Reconfiguration of Automatic Production Line Using IEC 61499 FBs Combined with MAS and Ontology
Wan GX(万广喜)1,2; Wang P(王鹏)1,2; Nie ZB(聂振邦)1; Xie LL(薛玲玲)1; Zeng P(曾鹏)1
Department工业控制网络与系统研究室
Conference NameIECON 2017: 43rd Annual Conference of the IEEE Industrial Electronics Society (IES)
Conference DateOctober 29 - November 1, 2017
Conference PlaceBeijing, China
Author of SourceIEEE Industrial Electronics Society
Source PublicationProceedings of the 43rd Annual Conference of the IEEE Industrial Electronics Society (IECON 2017)
PublisherIEEE
Publication PlaceNew York
2017
Pages6683-6688
Indexed ByEI ; CPCI(ISTP)
EI Accession number20182005192384
WOS IDWOS:000427164806095
Contribution Rank1
ISSN1553-572X
ISBN978-1-5386-1127-2
KeywordManufacturing Systems Iec 61499 Multi-agent Systems Ontology Reconfiguration Flexibility
Abstract

Within the context of industry 4.0, the personalized customization requires the manufacture more agile and flexible, which means the reconfigurable manufacturing system is crucial for enterprise to remain competitive. However, most of the existing systems have to suspend when reconfiguring, as the online reconfiguration may lead system to disorder and uncertainty. To minimize the leading time of reconfiguration while ensuring system stability, this paper proposes a solution based on an industrial pipeline structure by utilizing IEC 61499 Function Blocks combined with Multi-agent systems and ontology. And a simulation is conducted to verify the effectiveness of this solution.

Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/22069
Collection工业控制网络与系统研究室
Corresponding AuthorWan GX(万广喜)
Affiliation1.Lab. of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.University of Chinese Academy of Sciences, Beijing 100049, China
Recommended Citation
GB/T 7714
Wan GX,Wang P,Nie ZB,et al. Online Reconfiguration of Automatic Production Line Using IEC 61499 FBs Combined with MAS and Ontology[C]//IEEE Industrial Electronics Society. New York:IEEE,2017:6683-6688.
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