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Modeling and Optimization of Hybrid Systems for the Tweeting Factory
University West, Department of Engineering Science, Division of Automation Systems. Chalmers University of Technology, Department of Signals and Systems, Gothenburg, Sweden. (PTW)
Sekvensa AB.
Chalmers.
Chalmers.
2016 (English)In: IEEE Transactions on Automation Science and Engineering, ISSN 1545-5955, E-ISSN 1558-3783, Vol. 13, no 1, 195-205 p.Article in journal (Refereed) Published
Abstract [en]

In this paper, a predicate transition model for discrete-event systems is generalized to include continuous dynamics, and the result is a modular hybrid predicate transition model. Based on this model, a hybrid Petri net including explicit differential equations and shared variables is also proposed. It is then shown how this hybrid Petri net model can be optimized based on a simple and robust nonlinear programming formulation. The procedure only assumes that desired sampled paths for a number of interacting moving devices are given, while originally equidistant time instances are adjusted to minimize a given criterion. This optimization of hybrid systems is also applied to a real robot station with interacting devices, which results in about 30% reduction in energy consumption. Moreover, a flexible online and event-based information architecture called the Tweeting Factory is proposed. Simple messages (tweets) from all kinds of equipment are combined into high-level knowledge, and it is demonstrated how this information architecture can be used to support optimization of robot stations.

Place, publisher, year, edition, pages
2016. Vol. 13, no 1, 195-205 p.
Keyword [en]
Automata, Collision avoidance, Mathematical model, Optimization, Petri nets, Production facilities, Discrete events, energy optimization, factory automation, hybrid systems
National Category
Control Engineering
Research subject
ENGINEERING, Manufacturing and materials engineering
Identifiers
URN: urn:nbn:se:hv:diva-8705DOI: 10.1109/TASE.2015.2480010OAI: oai:DiVA.org:hv-8705DiVA: diva2:875281
Available from: 2015-12-01 Created: 2015-11-24 Last updated: 2016-02-16Bibliographically approved

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