22nd IEEE International Conference on
Emerging Technologies And Factory Automation
September 12-15, 2017, Limassol, Cyprus


Bengt Lennartson
Chalmers University, Sweden
Robust Energy Optimization in the Tweeting Factory

Abstract: Evaluations of the energy consumption in industrial robot stations have recently shown that it is possible to obtain energy reduction up to 30% and peak power reduction up to 60%. This is based on a new efficient optimization procedure for hybrid systems and Petri Nets. Constraint Programming is used to reduce the discrete search space, and no physical models are included in the energy minimization. The procedure only assumes that desired sampled paths for a number of interacting moving devices are given. Furthermore, some interesting conflicts between energy reduction and robust scheduling are highlighted. It is also shown how the optimization procedure can be implemented in a flexible online and event-based information architecture called the Tweeting Factory. 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 the energy optimization of robot stations.

Biodata: Bengt Lennartson is a Professor of the Chair of Automation since 1999 at Chalmers University of Technology, Gothenburg, Sweden. He is Head of the Division of Systems and Control at the Department of Signals and Systems, and he is IEEE Fellow for his contributions to hybrid and discrete event systems for automation and sustainable production. He has been Associate Editor for Automatica and IEEE Transaction on Automation Science and Engineering, General Chair of CASE 2015, and WODES 2008. He is (co)author of 270+ peer reviewed international papers, and currently, much intention is focused on sustainable production, including energy minimization of robot cells. Collaboration with industry involves Volvo, GM, Daimler, Kuka, and TetraPak.

Mark Nixon
Emerson Process Management, Austin, USA
Event-based Industrial Control