Signal Processing for self-Optimising Manufacturing Systems in Laser-Cutting and Gas-Metal-Arc-Welding

Self-optimising manufacturing systems have the potential to enhance robustness and performance of machines which employ processes that are characterised by the fact that the processing result cannot be measured directly during processing. “Model-Based Self-Optimisation” is a concept to overcome this problem by embedding knowledge about the process into the numerical control of manufacturing systems. It requires distributed handling of process signals on different time-scales to allow autonomous adaptation to changes in the manufacturing processes. This paper reports on works on this topic by examples from laser cutting and gas-metal-arc-welding.