Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Hard Planning and Scheduling Problems in the Digital Factory Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Optimisation of Power Consumption for Robotic Lines in Automotive Industry

Authors : Pavel Burget, Libor Bukata, Přemysl Šůcha, Martin Ron, Zdeněk Hanzálek

Published in: Math for the Digital Factory

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

A novel mathematical formulation of the energy optimisation problem for robotic lines is presented, which allows minimising the energy consumption in a robotic cell while keeping the required production cycle time. Different energy saving modes of the robots are utilised as well as the fact that the robot energy consumption during its movement depends on the movement duration. This dependency is modelled with a so-called energy function, which can be obtained by measurements, physical modelling of the robots or simulation. Each of these areas is covered by the presented work. The achieved results show there is a good potential to achieve energy savings at existing robotic cells and their series, and an even bigger potential if the presented approach is used during the design phase of new robotic cells.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Physics-Based Simulation for Energy Consumption Optimization of Automated Assembly Systems in the Automotive Industry
next chapter Production Line Optimization with Model Based Methods
Footnotes
1
The more energy-saving mode is the longer time is required to have the robot back in a ready-to-operate mode.
 
2
Each activity can be performed by only one assigned robot.
 
3
The dynamic activity has exactly one successor and one predecessor.
 
Literature
1.
Ahuja, R.K., Magnanti, T.L., Orlin, J.B.: Network Flows: Theory, Algorithms, and Applications. Prentice-Hall, Upper Saddle River, NJ (1993)MATH
2.
Bard, J.F., Purnomo, H.W.: Cyclic preference scheduling of nurses using a Lagrangian-based heuristic. J. Sched. 10(1), 5–23 (2007)CrossRefMathSciNetMATH
3.
Bjorkenstam, S., Gleeson, D., Bohlin, R., Carlson, J., Lennartson, B.: Energy efficient and collision free motion of industrial robots using optimal control. In: IEEE International Conference on Automation Science and Engineering, pp. 510–515 (2013)
4.
Bryan, C., Grenwalt, M., Stienecker, A.: Energy consumption reduction in industrial robots. In: Proceedings of ASEE North Conference, pp. 1–4 (2010)
5.
Chemnitz, M., Schreck, G., Kruger, J.: Analyzing energy consumption of industrial robots. In: Proceedings of IEEE Conference on Emerging Technologies & Factory Automation, pp. 1–4 (2011)
6.
Gavrovska, A.M., Paskaš, M.P., Dujković, D., Reljin, I.S.: Region-based phonocardiogram event segmentation in spectrogram image. In: 10th Symposium on Neural Network Applications in Electrical Engineering, NEUREL-2010 - Proceedings, pp. 69–72 (2010). doi:10.1109/NEUREL.2010.5644108
7.
Hanen, C., Munier, A.: A study of the cyclic scheduling problem on parallel processors. Discret. Appl. Math. 57(2–3), 167–192 (1995). Combinatorial optimization 1992
8.
9.
Lampariello, R., Nguyen-Tuong, D., Castellini, C., Hirzinger, G., Peters, J.: Trajectory planning for optimal robot catching in real-time. In: 2011 IEEE International Conference on Robotics and Automation (ICRA), pp. 3719–3726 (2011)
10.
Le, C.V., Pang, C.K., Gan, O.P., Chee, X.M., Zhang, D.H., Luo, M., Chan, H.L., Lewis, F.L.: Classification of energy consumption patterns for energy audit and machine scheduling in industrial manufacturing systems. Trans. Inst. Meas. Control. 35(5), 583–592 (2012). doi:10.1177/0142331212460883CrossRef
11.
Mashaei, M., Lennartson, B.: Energy reduction in a pallet-constrained flow shop through on–off control of idle machines. IEEE Trans. Autom. Sci. Eng. 10(1), 45–56 (2013)CrossRef
12.
Michna, V., Wagner, P., Cernohorsky, J.: Constrained optimization of robot trajectory and obstacle avoidance. In: IEEE Conference on Emerging Technologies and Factory Automation (ETFA), pp. 1–4 (2010)
13.
Othman, A., Belda, K., Burget, P.: Physical modelling of energy consumption of industrial articulated robots. In: 15th ICCAS International Conference on Control, Automation and Systems (2015)
14.
Riazi, S., Bengtsson, K., Wigström, O., Vidarsson, E., Lennartson, B.: Energy optimization of multi-robot systems. In: 20th IEEE CASE Conference on Automation Science and Engineering, pp. 1345–1350 (2015)
15.
Ron, M., Burget, P., Fiala, O.: Identification of operations at robotic welding lines. In: 20th IEEE CASE Conference on Automation Science and Engineering, pp. 470–476 (2015)
16.
Saramago Jr., S., Steffen, V.: Optimization of the trajectory planning of robot manipulators taking into account the dynamics of the system. Mech. Mach. Theory 33(7), 883–894 (1998)CrossRefMathSciNetMATH
17.
Saravanan, R., Ramabalan, S., Balamurugan, C.: Evolutionary optimal trajectory planning for industrial robot with payload constraints. Int. J. Adv. Manuf. Technol. 38(11–12), 1213–1226 (2008)CrossRef
18.
Sharma, G.: Optimization of energy in robotic arm using genetic algorithm. Int. J. Comput. Sci. Technol. 2(2), 315–317 (2011)
19.
Siciliano, B., Sciavicco, L., et al.: Robotics - Modelling, Planning and Control. Springer, Berlin (2009)CrossRefMATH
20.
Simon, L., Hungerbuehler, K.: Real time takagi-sugeno fuzzy model based pattern recognition in the batch chemical industry. In: IEEE International Conference on Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence), pp. 779–782 (2008). doi:10.1109/FUZZY.2008.4630459
21.
Smetanová, A.: Optimization of energy by robot movement. Mod. Mach. Sci. J. 3(1), 172–176 (2010)
22.
Vergnano, A., Thorstensson, C., Lennartson, B., Falkman, P., Pellicciari, M., Leali, F., Biller, S.: Modeling and optimization of energy consumption in cooperative multi-robot systems. IEEE Trans. Autom. Sci. Eng. 9(2), 423–428 (2012)CrossRef
23.
Wigstrom, O., Lennartson, B.: Integrated OR/CP optimization for discrete event systems with nonlinear cost. In: 2013 IEEE 52nd Annual Conference on Decision and Control (CDC), pp. 7627–7633 (2013)
24.
Wigstrom, O., Sundstrom, N., Lennartson, B.: Optimization of hybrid systems with known paths. In: 4th IFAC Conference on Analysis and Design of Hybrid Systems, 2012, pp. 39–45 (2012). doi:10.3182/20120606-3-NL-3011.00007
25.
Wigstrom, O., Lennartson, B., Vergnano, A., Breitholtz, C.: High-level scheduling of energy optimal trajectories. IEEE Trans. Autom. Sci. Eng. 10(1), 57–64 (2013)CrossRef
Metadata
Title
Optimisation of Power Consumption for Robotic Lines in Automotive Industry
Authors
Pavel Burget
Libor Bukata
Přemysl Šůcha
Martin Ron
Zdeněk Hanzálek
Copyright Year
2017
Book
Math for the Digital Factory

Print ISBN: 978-3-319-63955-0

Electronic ISBN: 978-3-319-63957-4

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-63957-4_7