DocumentCode :
2480478
Title :
Coupling event domain and time domain models of manufacturing systems
Author :
Van Eekelen, J. A W M ; Lefeber, E. ; Roo, J.E.
Author_Institution :
Dept. of Mech. Eng., Technische Univ. Eindhoven
fYear :
2006
fDate :
13-15 Dec. 2006
Firstpage :
6068
Lastpage :
6073
Abstract :
Manufacturing systems are often characterized as discrete event systems (DES) and consequently, these systems are modeled with discrete event models. For certain discrete event modeling paradigms, control theory/techniques have been developed in event domain. However, from a control or performance perspective, a lot of notions are time related, like stability, settling time, transient behavior, throughput, flow time, efficiency, etc. Moreover, if we also consider market/customer requirements, almost all requirements are within time perspective: due dates, deliverability, earliness, tardiness, etc. Therefore, it is also useful to have time driven models of manufacturing systems. To combine the insights in modeling and control obtained in both time and event domain, it is useful to create a coupling between those two domains. This paper describes modeling techniques in both time domain and event domain for a class of manufacturing systems and establishes a generic coupling between two model descriptions. The coupling exists of two maps between the models´ states, enabling real-time control of manufacturing systems
Keywords :
discrete event systems; manufacturing systems; time-domain analysis; discrete event modeling; discrete event system; event domain modeling; manufacturing system real-time control; time domain model; Control systems; Discrete event systems; Manufacturing systems; Predictive models; Real time systems; Stability; State-space methods; Throughput; Time domain analysis; Workstations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2006 45th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
1-4244-0171-2
Type :
conf
DOI :
10.1109/CDC.2006.377701
Filename :
4177851
Link To Document :
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