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Modeling and Optimization of Hybrid Systems for the Tweeting Factory

Bengt Lennartson (Institutionen för signaler och system, Automation) ; Kristofer Bengtsson (Institutionen för signaler och system, Automation) ; Oskar Wigström (Institutionen för signaler och system, Automation) ; Sarmad Riazi (Institutionen för signaler och system, Automation)
IEEE Transactions on Automation Science and Engineering (1545-5955). Vol. 13 (2016), 1, p. 191-205.
[Artikel, refereegranskad vetenskaplig]

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.

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Denna post skapades 2016-04-20. Senast ändrad 2017-01-20.
CPL Pubid: 234955


Institutioner (Chalmers)

Institutionen för signaler och system, Automation (2005-2017)


Hållbar utveckling
Robotteknik och automation

Chalmers infrastruktur