Proceedings of the 2018 International Conference on Industrial Enterprise and System Engineering (IcoIESE 2018)

On the Relationship of Travel Time and Energy Efficiency of Industrial Robots

Authors
Kai Eggers, Zygimantas Ziaukas, Jens Kotlarski, Tobias Ortmaier
Corresponding Author
Kai Eggers
Available Online March 2019.
DOI
https://doi.org/10.2991/icoiese-18.2019.21How to use a DOI?
Keywords
Industrial Robotic; Energy Efficiency; Efficient Trajectory Planning; Travel Time
Abstract
This paper presents an approach to quantify the energy saving potential with regard to travel time of industrial robot motions. In order to minimize the influence of the exemplary considered trajectories and, thus, provide general results, the evaluation is done on a large set of automatically generated point-to-point motions on a KUKA KR 210 serial robot. For this purpose, an energy model specifically tailored to industrial robots is introduced, along with an algorithm for automatic generation of appropriate evaluation trajectories. It is shown that the power consumption model requires an accurate inverse dynamics and friction model, while simplified models of motors and invertes yield sufficient results.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 International Conference on Industrial Enterprise and System Engineering (ICoIESE 2018)
Part of series
Atlantis Highlights in Engineering
Publication Date
March 2019
ISBN
978-94-6252-689-1
ISSN
2589-4943
DOI
https://doi.org/10.2991/icoiese-18.2019.21How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Kai Eggers
AU  - Zygimantas Ziaukas
AU  - Jens Kotlarski
AU  - Tobias Ortmaier
PY  - 2019/03
DA  - 2019/03
TI  - On the Relationship of Travel Time and Energy Efficiency of Industrial Robots
BT  - 2018 International Conference on Industrial Enterprise and System Engineering (ICoIESE 2018)
PB  - Atlantis Press
SN  - 2589-4943
UR  - https://doi.org/10.2991/icoiese-18.2019.21
DO  - https://doi.org/10.2991/icoiese-18.2019.21
ID  - Eggers2019/03
ER  -