Control-integrated consumption graph-based optimisation method for energy reduction of machine tools with automated parameter optimisation

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.