Autoprofit - Advanced Autonomous Model-Based Operation of Industrial Process Systems
|It is widely recognized that the life-time performance of current model-based operation support systems, like Model Predictive Control (MPC), for large-scale complex dynamic processes is rather limited, particularly due to the fact that the underlying dynamic models need to be adapted regularly, requiring dedicated measurement campaigns executed by highly specialized engineers.|
The expected impact of the proposed technology is threefold: 1) an increase of the life time performance and the economic benefits of model-based operation support systems against a reduced investment 2) much tighter control and more accurate model-based measurements of industrial processes resulting in higher energy efficiency and a significant reduction of the environmental load 3) a reduction of the need for on-site presence of model-based experts for the implementation and the maintenance of model-based systems. This technology will therefore inevitably strengthen the competiveness of the European process industry and of the European suppliers of model-based operation support systems.
|Kooperationspartner:||Delft University of Technology (Center for Systems and Control, Principal Investigator Autoprofit: Prof.dr.ir. Paul van den Hof, The Netherlands), Eindhoven University of Technology (Department of Electrical Engineering, Control Systems Group, Contact person: Prof.dr.ir. Ton Backx, The Netherlands), KTH Royal Institute of Technology (Department of Automatic Control, Contact person: Prof. Håkan Hjalmarsson, Sweden), ABB AB (Control and Optimization program, AAB Corporate Research Center Sweden, Contact person: Per Erik Modén, Sweden), SASOL Synfuels PTY (Contact person: Petri Labuschagne, South Africa), BOLIDEN Mineral AB (Contact person: Anders Sandberg, Sweden)|