%0 Journal Article %1 EberspaecherLechlerVerl2015 %A Eberspächer, Philipp %A Lechler, Armin %A Verl, Alexander %D 2015 %K ISW automated control; energy energy-efficient graph-based isw-2015 modelling optimisation; %P -- %T Control-integrated consumption graph-based optimisation method for energy reduction of machine tools with automated parameter optimisation: Control-integrated consumption graph-based optimisation method for energy reduction of machine tools with automated parameter optimisation %X With the focus of industrial manufacturing on energy efficiency, machine tools offer energy-saving modes and the new controls have the potential to reach those or even switch off the machine. The switching to these energy-saving states is most commonly executed after a predefined time interval or just manually by the machine tool operator. To enable an automated and energy-optimal switching sequence of energy-minimal operating states of machine tools, a control-integrated consumption graph-based optimisation method is proposed. This uses energy prediction through a consumption graph and calculates operating state trajectories using a graph-based optimisation theory. These trajectories allow an energy-minimal spending of unproductive times. To ensure a widespread application, an automated parameter optimisation is proposed to adapt the consumption graph to the machine tool it is optimising automatically. The saving potential of the approach is demonstrated by a usage scenario from an industrial shop floor setup.

@article{EberspaecherLechlerVerl2015, __markedentry = {[xtl:6]}, abstract = {With the focus of industrial manufacturing on energy efficiency, machine tools offer energy-saving modes and the new controls have the potential to reach those or even switch off the machine. The switching to these energy-saving states is most commonly executed after a predefined time interval or just manually by the machine tool operator. To enable an automated and energy-optimal switching sequence of energy-minimal operating states of machine tools, a control-integrated consumption graph-based optimisation method is proposed. This uses energy prediction through a consumption graph and calculates operating state trajectories using a graph-based optimisation theory. These trajectories allow an energy-minimal spending of unproductive times. To ensure a widespread application, an automated parameter optimisation is proposed to adapt the consumption graph to the machine tool it is optimising automatically. The saving potential of the approach is demonstrated by a usage scenario from an industrial shop floor setup.}, added-at = {2016-03-03T09:53:12.000+0100}, author = {Eberspächer, Philipp and Lechler, Armin and Verl, Alexander}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2023701a6fe3899e31d951edbdc9f4d48/isw-bibliothek}, interhash = {9d40c0af7486e497b08a5b096f519829}, intrahash = {023701a6fe3899e31d951edbdc9f4d48}, keywords = {ISW automated control; energy energy-efficient graph-based isw-2015 modelling optimisation;}, pages = {--}, timestamp = {2016-03-03T13:25:01.000+0100}, title = {Control-integrated consumption graph-based optimisation method for energy reduction of machine tools with automated parameter optimisation: Control-integrated consumption graph-based optimisation method for energy reduction of machine tools with automated parameter optimisation}, year = 2015 }