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Simulation-based Time and Jerk Optimisation for Robotic Press Tending
University West, Department of Engineering Science, Division of Automation Systems. (PTW)ORCID iD: 0000-0002-0044-2795
University West, Department of Engineering Science, Division of Automation Systems. (PTW)ORCID iD: 0000-0002-8878-2718
University West, Department of Engineering Science, Division of Automation Systems. (PTW)ORCID iD: 0000-0002-6604-6904
University West, Department of Engineering Science, Division of Automation Systems. (PTW)
2015 (English)In: Modellling and Simulation: The European simulation and modelling conference 2015, ESM 2015, Ostende: ESM , 2015, 377-384 p.Conference paper (Refereed)
Abstract [en]

Increased production rate and robot motion smoothness in a sheet metal press line are essential. Smooth robot motions avoid unplanned production interruptions and excessive wear of the robots. Reaching high production rate and smooth motions requires tuning of the tending press robot control to minimise the cycle time and jerk. Doing this for a press line with multiple robots is a complex large-scale problem. To model such problems for the optimisation process, computer simulations become almost essential. This work presents simulation-based optimisation of the time and jerk of robotic press tending operations and investigates the importance of including the robot motion’s smoothness. An optimiser works in concert with a simulation model of a sheet metal press line and its parametrised control system. The effect of including jerk minimisation in the objective function is tested on a real-world problem concerning a sheetmetal press line. The results illustrate the importance of including jerk-minimisation as an objective in the optimisation.Furthermore, the performance of this approach is compared with manual tuning by experienced operators. The results show that the proposed simulation-based optimisation approach outperforms manual tuning.

Place, publisher, year, edition, pages
Ostende: ESM , 2015. 377-384 p.
Keyword [en]
Production, Optimization, Manufacturing, Automatic control, Industrial control
National Category
Robotics
Research subject
Production Technology
Identifiers
URN: urn:nbn:se:hv:diva-8624ScopusID: 2-s2.0-84963512911ISBN: 978-90-77381-90-8 (print)OAI: oai:DiVA.org:hv-8624DiVA: diva2:867742
Conference
The 29th annual European simulation and modelling conference 2015, Leicester, United Kingdom, October 26-28, 2015
Available from: 2015-11-06 Created: 2015-11-06 Last updated: 2016-04-27Bibliographically approved

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Glorieux, EmileSvensson, BoDanielsson, FredrikLennartson, Bengt
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
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