Enhanced approach for energy-efficient trajectory generation of industrial robots

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • Christian Hansen
  • Julian Öltjen
  • Davis Meike
  • Tobias Ortmaier

Organisationseinheiten

Externe Organisationen

  • Mercedes-Benz Group AG
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des Sammelwerks2012 IEEE International Conference on Automation Science and Engineering
UntertitelGreen Automation Toward a Sustainable Society, CASE 2012
Seiten1-7
Seitenumfang7
PublikationsstatusVeröffentlicht - 2012
Veranstaltung2012 IEEE International Conference on Automation Science and Engineering: Green Automation Toward a Sustainable Society, CASE 2012 - Seoul, Südkorea
Dauer: 20 Aug. 201224 Aug. 2012

Publikationsreihe

NameIEEE International Conference on Automation Science and Engineering
ISSN (Print)2161-8070
ISSN (elektronisch)2161-8089

Abstract

This paper proposes a novel cost function formulation for minimization of the energy consumption of industrial robots by trajectory optimization. Besides the dynamics of the robot including friction losses, the model especially takes into account the losses of servo drives and inverters. Furthermore, the ability of energy exchange between the robot axes via the coupled DC-bus is included, since the servo drives support generator mode during deceleration. The utilized energy-based robot model is applicable to different manipulator types. For the energy-efficient motion planning, point-to-point trajectories are defined by B-spline functions. The given nonlinear optimization problem is solved using gradient-based methods, considering kinematic and dynamic constraints. Several simulation results are presented, demonstrating the intense effect of energy exchange in the robot controller's power electronics. Furthermore, a comparative study is given showing that the proposed method is able to outperform existing torque-based approaches.

ASJC Scopus Sachgebiete

Ziele für nachhaltige Entwicklung

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Enhanced approach for energy-efficient trajectory generation of industrial robots. / Hansen, Christian; Öltjen, Julian; Meike, Davis et al.
2012 IEEE International Conference on Automation Science and Engineering: Green Automation Toward a Sustainable Society, CASE 2012. 2012. S. 1-7 6386343 (IEEE International Conference on Automation Science and Engineering).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Hansen, C, Öltjen, J, Meike, D & Ortmaier, T 2012, Enhanced approach for energy-efficient trajectory generation of industrial robots. in 2012 IEEE International Conference on Automation Science and Engineering: Green Automation Toward a Sustainable Society, CASE 2012., 6386343, IEEE International Conference on Automation Science and Engineering, S. 1-7, 2012 IEEE International Conference on Automation Science and Engineering: Green Automation Toward a Sustainable Society, CASE 2012, Seoul, Südkorea, 20 Aug. 2012. https://doi.org/10.1109/CoASE.2012.6386343
Hansen, C., Öltjen, J., Meike, D., & Ortmaier, T. (2012). Enhanced approach for energy-efficient trajectory generation of industrial robots. In 2012 IEEE International Conference on Automation Science and Engineering: Green Automation Toward a Sustainable Society, CASE 2012 (S. 1-7). Artikel 6386343 (IEEE International Conference on Automation Science and Engineering). https://doi.org/10.1109/CoASE.2012.6386343
Hansen C, Öltjen J, Meike D, Ortmaier T. Enhanced approach for energy-efficient trajectory generation of industrial robots. in 2012 IEEE International Conference on Automation Science and Engineering: Green Automation Toward a Sustainable Society, CASE 2012. 2012. S. 1-7. 6386343. (IEEE International Conference on Automation Science and Engineering). doi: 10.1109/CoASE.2012.6386343
Hansen, Christian ; Öltjen, Julian ; Meike, Davis et al. / Enhanced approach for energy-efficient trajectory generation of industrial robots. 2012 IEEE International Conference on Automation Science and Engineering: Green Automation Toward a Sustainable Society, CASE 2012. 2012. S. 1-7 (IEEE International Conference on Automation Science and Engineering).
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