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

Kai Zhang, Ting Qu, Dajian Zhou, Hongfei Jiang, Yuanxin Lin, Peize Li, Hongfei Guo, Yang Liu, Congdong Li, George Q. Huang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

90 Citations (Scopus)

Abstract

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are influenced by more frequent uncertainties, and the planning-based production decision and control approach is no longer applicable.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.

Original languageEnglish
Article number101892
Number of pages15
JournalRobotics and Computer-Integrated Manufacturing
Volume63
DOIs
Publication statusPublished - Jun 2020
Externally publishedYes

Keywords

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

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • General Mathematics
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

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