TY - GEN
T1 - Coupling simulation and model checking to examine selected mechanical constraints of automated production systems
AU - Vogel-Heuser, B.
AU - Folmer, J.
AU - Aicher, T.
AU - Mund, J.
AU - Rehberger, S.
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/9/28
Y1 - 2015/9/28
N2 - Modeling complex mechatronic systems containing parts such as mechanics, electronics and software is a major challenge for the engineering of automation production systems. As a result, many modeling languages as well as tools (e.g. petri nets or MATLAB/Simulink) and verification approaches (e.g. testing, simulation or formal verification) that focus on special challenges to model the mechatronic system correctly have already been developed. However, a holistic approach combining the strengths of the individual approaches adapted for the engineering of automation production systems has not yet been developed. In this paper we consider the combination of simulation with MATLAB/Simulink and a discrete event simulation model allowing model checking of specific constraints. Hence, the strengths of both approaches' formal verification, i.e. to identify not only faults but also correctness of a system, and simulation, i.e. showing the exact time behavior of the system, can be combined. A key challenge of our approach is to identify an appropriate level of abstraction of both models. The evaluation of the presented approach is introduced by modeling the throughput of a simple automation production system.
AB - Modeling complex mechatronic systems containing parts such as mechanics, electronics and software is a major challenge for the engineering of automation production systems. As a result, many modeling languages as well as tools (e.g. petri nets or MATLAB/Simulink) and verification approaches (e.g. testing, simulation or formal verification) that focus on special challenges to model the mechatronic system correctly have already been developed. However, a holistic approach combining the strengths of the individual approaches adapted for the engineering of automation production systems has not yet been developed. In this paper we consider the combination of simulation with MATLAB/Simulink and a discrete event simulation model allowing model checking of specific constraints. Hence, the strengths of both approaches' formal verification, i.e. to identify not only faults but also correctness of a system, and simulation, i.e. showing the exact time behavior of the system, can be combined. A key challenge of our approach is to identify an appropriate level of abstraction of both models. The evaluation of the presented approach is introduced by modeling the throughput of a simple automation production system.
KW - AutoFocus3 (AF3)
KW - MATLAB/Simulink
KW - automated production system (aPS)
KW - model checking
KW - modeling
KW - simulation
UR - http://www.scopus.com/inward/record.url?scp=84949504610&partnerID=8YFLogxK
U2 - 10.1109/INDIN.2015.7281707
DO - 10.1109/INDIN.2015.7281707
M3 - Conference contribution
AN - SCOPUS:84949504610
T3 - Proceeding - 2015 IEEE International Conference on Industrial Informatics, INDIN 2015
SP - 37
EP - 42
BT - Proceeding - 2015 IEEE International Conference on Industrial Informatics, INDIN 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th International Conference on Industrial Informatics, INDIN 2015
Y2 - 22 July 2015 through 24 July 2015
ER -