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Digital twin-based opti-state control method for a synchronized production operation system

Zhang, Kai (författare)
Jinan Univ, Peoples R China
Qu, Ting (författare)
Jinan Univ, Peoples R China
Zhou, Dajian (författare)
Guangdong Univ Technol, Peoples R China
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Jiang, Hongfei (författare)
Jinan Univ, Peoples R China
Lin, Yuanxin (författare)
Jinan Univ, Peoples R China
Li, Peize (författare)
Jinan Univ, Peoples R China; Xian Univ Sci and Technol, Peoples R China
Guo, Hongfei (författare)
Jinan Univ, Peoples R China
Liu, Yang (författare)
Linköpings universitet,Industriell miljöteknik,Tekniska fakulteten,Jinan Univ, Peoples R China
Li, Congdong (författare)
Jinan Univ, Peoples R China
Huang, George Q. (författare)
Jinan Univ, Peoples R China; Univ Hong Kong, Peoples R China
visa färre...
 (creator_code:org_t)
PERGAMON-ELSEVIER SCIENCE LTD, 2020
2020
Engelska.
Ingår i: Robotics and Computer-Integrated Manufacturing. - : PERGAMON-ELSEVIER SCIENCE LTD. - 0736-5845 .- 1879-2537. ; 63
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • The intelligent manufacturing strategy and customer demand have mutually promoted each other. Also, the production mode is shifting towards customized production, and more rental resources or services are introduced to the production system, therefore, the systems are becoming more complex. Compared with traditional production systems, such systems have some new features, this work calls this type of system as a synchronized production operation system (SPOS). Under such circumstances, production systems are influenced by more frequent uncertainties, and the planning-based production decision and control approach is no longer applicable. The opti-state control (OsC) method is proposed to help SPOS keep in an optimal state when uncertainties affect the system. Besides, a digital twin-based control framework (DTCF) is designed for getting the full element information needed for decision making. Based on the comprehensive information of the production system obtained by the DTCF, the OsC method is introduced to the virtual control layer to formulate the optimal target guiding the path of the system in real time through the dynamic matching mechanism (qualitative perspective). Then multi-stage synchronized control with analysis target cascading (ATC) method is used to get the local optimal state decisions (quantitative perspective). From both qualitative and quantitative aspects to ensure the system is under an optimal target path for optimal operation procedure. At last, a case study in a large-size paint making company in China is used to validate the effectiveness of the approach.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Maskinteknik -- Produktionsteknik, arbetsvetenskap och ergonomi (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Mechanical Engineering -- Production Engineering, Human Work Science and Ergonomics (hsv//eng)

Nyckelord

Optimal State; Digital Twin; Resilient Control; Synchronized Control; Uncertainties

Publikations- och innehållstyp

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