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Content archived on 2024-06-20

Improving the tuning methodology for MPC+C108

Objective

Model Predictive Control (MPC) is an strategic control technology in terms of market and research. Dept of Sistemas e Automatica is recognized as being a very active group in the area combining research, training, dissemination and application of MPC to a variety of processes and in particular to solar plants. The market is dominated by American companies although there are a few very active European SMEs in the field. MPC performances relies on the quality of the model used for prediction and therefore the techniques for identification of plant models in a realistic environment and during normal operation is a very important issue both for improving the performance and to develop systematic tuning procedures. These techniques are basically: Identification in closed loop-On site tuning-Robustness. This new area of competence will enhance the capability of the host for research and applications to processes such as solar energy systems. Solar energy systems have a great importance from a regional an environmental viewpoint. Efforts in better control schema for solar systems will have a positive impact. The proposed action consist of hosting "More experienced researchers" at applicant for a total of 18 persons-month. This will be an effective way of transferring the knowledge. The action does not only include lectures but also development of projects and benchmarking and is spanned over a realistic period of time. The group is active in the field but located at one of the less favoured peripheral regions in Europe which is an added difficulties to its integration in the European Research area. This action will contribute to the European cohesion and to the establishment of the European Research area.

Fields of science (EuroSciVoc)

Keywords

Topic(s)

Call for proposal

FP6-2002-MOBILITY-3
See other projects for this call

Funding Scheme

TOK - Marie Curie actions-Transfer of Knowledge

Coordinator

UNIVERSIDAD DE SEVILLA
EU contribution
No data
Address
C/ San Fernando 4
SEVILLA
Spain
Total cost
No data