Digital twin-based opti-state control method for a synchronized production operation system. (June 2020)

• Record Type: Journal Article
• Authors: Zhang, Kai; Qu, Ting; Zhou, Dajian; Jiang, Hongfei; Lin, Yuanxin; Li, Peize; Guo, Hongfei; Liu, Yang; Li, Congdong; Huang, George Q
• Is Part Of: Robotics and computer-integrated manufacturing. Volume 63(2020)
• Publication Date: 2020-06
• Subjects: Optimal State -- Digital Twin -- Resilient Control -- Synchronized Control -- Uncertainties; Robots, Industrial -- Periodicals; Computer integrated manufacturing systems -- Periodicals; Robotics -- Periodicals; Robots industriels -- Périodiques; Productique -- Périodiques; Robotique -- Périodiques; 670.285
• DOI: 10.1016/j.rcim.2019.101892
• Languages: English
• ISSNs: 0736-5845

Abstract

Highlights: Consolidate the core requirements for intelligent manufacturing models The opti-state control (OsC) method helps keep the system adjust to the currently achievable optimal operating state when uncertainties affect the system Extend the basic framework of Digital Twin to the DT-based opti-state control framework 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are influenced by more frequent uncertainties, and the planning-based production decision and control approach is no longer applicable.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.