Modeling Cyber-Physical Production Systems With SystemC-AMS

被引:2
作者
Fraccaroli, Enrico [1 ]
Vinco, Sara [2 ]
机构
[1] Univ North Carolina Chapel Hill, Dept Comp Sci, Chapel Hill, NC 27599 USA
[2] Politecn Torino, Dept Control & Comp Engn, I-10129 Turin, Italy
关键词
Computational modeling; Mathematical models; Kernel; Context modeling; Production systems; Wind turbines; Wind power generation; Cyber-physical production system; DAE solver; digital twin; mechanical models; multi-discipline; non linear systems; schedulability; systemC-AMS; SystemC simulation kernel; SIMULATION; DESIGN; FRAMEWORK;
D O I
10.1109/TC.2022.3226567
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The heterogeneous nature of SystemC-AMS makes it a perfect candidate solution to support Cyber-Physical Production Systems (CPPSs), i.e., systems that are characterized by a tight interaction of the cyber part with the surrounding physical world and with manufacturing production processes. Nonetheless, the support for the modeling of physical and mechanical dynamics typical of production machinery goes far beyond the initial application scenario of SystemC-AMS, thus limiting its effectiveness and adoption in the production and manufacturing context. This paper starts with an analysis of the current adoption of SystemC-AMS to highlight the open points that still limit its effectiveness, with the goal of pinpointing current issues and to propose solutions that could improve its effectiveness, and make SystemC-AMS an essential resource also in the new Industry 4.0 scenario.
引用
收藏
页码:2039 / 2051
页数:13
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