ICD D-2: Technology Enablers for Embedding Cognition and Self-optimisation into Production Systems

Improving the contribution of cognition combined with intuition and operating experience is the preferred issue to make sound advances in coping with complexity of coupled systems and approaching the vision of self-optimising production.

Self-optimisation relies on the degree of object-to-object transparency obtained about the behaviour of the involved subsystems. The scientific challenge is to reveal the structural stability of the model and the production system, which changes with type and number of involved subsystems and their interaction at the actual process state. The adapted model structures have to be that tolerant and robust, that unavoidable changes of the process parameters and uncertainties about the material state are not essential for the system sensitivity and will not lead to process malfunctions. The iteratively increased extent of embedded cognition and features of self-optimisation are expected to enhance a more systematic development and evaluation of system solutions for fast ramp-up. Model based diagnosis and demand-adapted, reduced models are combined to enable the foreseen cognitive system to be re-adjustable to support the design of robust, controlled, and efficient rigging, monitoring and control systems.



Coordinator
Dr.-Ing. Reinhard Freudenberg
Laboratorium für Werkzeugmaschinen und Betriebslehre (WZL)
Fertigungsmesstechnik und Qualitätsmanagement
Steinbachstraße 19, D-52074 Aachen
Phone: +49 (0)241 80-27614 Fax: +49 (0)241 80-22193
E-Mail: R.Freudenberg@wzl.rwth-aachen.de

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