Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Symposium on Automated Systems and Technologies |
| Place of Publication | Garbsen |
| Pages | 65-70 |
| Publication status | Published - 2014 |
Abstract
Sustainable Development Goals
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Proceedings of the Symposium on Automated Systems and Technologies. Garbsen, 2014. p. 65-70.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Reduction of Energy Consumption by Optimized Robot Cell Design
AU - Eggers, K.
AU - Hansen, C.
AU - Kotlarski, Jens
AU - Ortmaier, Tobias
PY - 2014
Y1 - 2014
N2 - This paper presents an approach to reduce the energy consumption of industrial robots by optimizing the position of the robot base platform. The approach utilizes a comprehensive energy model for electrical drive systems with DC-bus coupling. The position is optimized for a predefined task in terms of energy consumption and the energy saving potential is analyzed. The results are compared to existing approaches that do not consider the DC-bus energy exchange and it is shown that the utilization of a comprehensive model helps in further improving the energy efficiency. The impact of the base position on the energy consumption is examined by varying the position in a discrete grid. The optimization takes kinematic and dynamic boundaries into account.
AB - This paper presents an approach to reduce the energy consumption of industrial robots by optimizing the position of the robot base platform. The approach utilizes a comprehensive energy model for electrical drive systems with DC-bus coupling. The position is optimized for a predefined task in terms of energy consumption and the energy saving potential is analyzed. The results are compared to existing approaches that do not consider the DC-bus energy exchange and it is shown that the utilization of a comprehensive model helps in further improving the energy efficiency. The impact of the base position on the energy consumption is examined by varying the position in a discrete grid. The optimization takes kinematic and dynamic boundaries into account.
M3 - Conference contribution
SP - 65
EP - 70
BT - Proceedings of the Symposium on Automated Systems and Technologies
CY - Garbsen
ER -