NDLI: Transformation of continuous simulation models of automated manufacturing systems into discrete event models on different levels of detail

Content Provider	IEEE Xplore Digital Library
Author	Schmidt, P.P. Fay, A.
Copyright Year	2015
Description	Author affiliation: Inst. of Autom. Technol., Helmut Schmidt Univ., Hamburg, Germany (Schmidt, P.P.; Fay, A.)
Abstract	To test the control code of an automated manufacturing system, virtual commissioning (VC) can be employed: the binary input and output signals of the controller (usually a Programmable Logic Controller, PLC) are connected with a simulation model of the plant. To resemble the physical behavior of the plant and of the sensors and actuators, the simulation model is usually a mixed continuous/discrete model. For different types of tests and different sizes of plants, simulation models are required at different detail. Four “Levels of Detail” (LoD) have been proposed in the literature for the continuous simulation models of modules in manufacturing plants. In this contribution, a similar four-LoD classification is proposed for discrete modelling, and this is exemplified by the transformation of four simulation models (which model the continuous physical behavior of a conveyor at four different LoD) to correspondent discrete simulation models. This will allow, with the same variation of the LoD, carrying out other validation and verification methods which are based on discrete event models.
Starting Page	1
Ending Page	5
File Size	257843
Page Count	5
File Format	PDF
e-ISBN	9781467379298
DOI	10.1109/ETFA.2015.7301647
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-08
Publisher Place	Luxembourg
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mathematical model Computational modeling Petri nets Manufacturing systems Sensors Analytical models levels of detail discrete event simulation continuous modelling virtual commissioning
Content Type	Text
Resource Type	Article

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