TY - JOUR
T1 - Effiziente Initialisierung von Steuerungsparametern für Cyber-Physische Produktionssysteme via Multi-Ebenen-Optimierung
AU - Zou, Minjie
AU - Ocker, Felix
AU - Huang, Edward
AU - Chen, Chun Hung
AU - Vogel-Heuser, Birgit
N1 - Publisher Copyright:
© 2019 Walter de Gruyter GmbH, Berlin/Boston 2019.
PY - 2019/6/1
Y1 - 2019/6/1
N2 - Modern cyber-physical production systems need to meet high demands regarding flexibility and efficiency. Even though flexibility is supported by modern control software, the initial control parameters are typically determined in an ad-hoc way. This paper presents an approach for optimizing the initial control parameters. This approach combines several simulation models of different fidelity, i. e. exactness, by means of ordinal transformation. The applicability of the approach is shown at hand of a demonstrator for production systems.
AB - Modern cyber-physical production systems need to meet high demands regarding flexibility and efficiency. Even though flexibility is supported by modern control software, the initial control parameters are typically determined in an ad-hoc way. This paper presents an approach for optimizing the initial control parameters. This approach combines several simulation models of different fidelity, i. e. exactness, by means of ordinal transformation. The applicability of the approach is shown at hand of a demonstrator for production systems.
KW - automated production systems
KW - control software
KW - multi-fidelityoptimization
UR - http://www.scopus.com/inward/record.url?scp=85067401001&partnerID=8YFLogxK
U2 - 10.1515/auto-2018-0117
DO - 10.1515/auto-2018-0117
M3 - Artikel
AN - SCOPUS:85067401001
SN - 0178-2312
VL - 67
SP - 477
EP - 489
JO - At-Automatisierungstechnik
JF - At-Automatisierungstechnik
IS - 6
ER -