self-optimization

Mechatronic systems have to fulfill increasingly advanced functions and requirements to serve future customer needs and create reliable, resource-efficient and user-friendly systems. To realize tomorrow’s technical systems, solutions in context of self-optimization can be used. Thus, intelligent behavior can be integrated in technical systems. These systems are able to adapt their behavior autonomously and react to outer influences. The Leading-Edge Cluster “Intelligent Technical Systems OstWestfalenLippe (it’s OWL)” focuses on the described innovation leap from mechatronics to intelligent technical systems. Within this contribution we explain the capabilities of solutions in context of self-optimization on the example of machine learning methods. Furthermore, an approach for the identification of potentials for the integration of self-optimization in mechatronic systems will be introduced.

The leading-edge Cluster Intelligent Technical Systems OstWestfalenLippe (it’s OWL) focuses on the innovation leap from mechatronics to systems with inherent intelligence. Within this paper we explain the technological evolution and its drivers for such intelligent technical systems. This leads to a technological concept which has been chosen as basis for the leading-edge cluster’s technology platform. Finally we present the cluster’s structure and its projects.

The trend for product individualization results in a demand for small and more flexible production series with a considerable diversity of components. The improvement of manufacturing and assembly flexibility has a direct impact on the control complexity of the manufacturing tasks leading to big challenges for the quality assurance systems. The quality assurance strategy that is nowadays used for mass production is unable to cope with the inspection flexibility needed among small series production. The major challenge faced by a quality assurance system applied to small series production is to guarantee the needed quality level already at the first run (“first time right on time”). This demands a constant adaption of the quality assurance system behavior according to the dynamic manufacturing conditions, which can be achieved by the improvement of cognitive and autonomy aspects of the manufacturing systems. This work introduces the concept of Cognitive Production Metrology as an ...

The information and communication technology distinguish the modern mechanical and automotive engineering. This is described by the term mechatronics. The development progress of information and communication technologies open up further fascinating perspectives: mechatronic systems with inherent partial intelligence. The term Self-optimization characterizes this perspective. Self-optimizing systems are able to react on changing environmental conditions and to optimize their behaviour autonomously. This contribution presents the paradigm of Self-optimization. The potential of Self-optimization is explained by two examples from the system RailCab.