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Scheduling of PID controllers by means of a neural network with application to a solar power plant

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4 Author(s)
Henriques, J. ; CISUC, Coimbra Univ., Portugal ; Gil, P. ; Cardoso, A. ; Dourado, A.

This paper concerns the application of a neural network control strategy to the distributed collector field of a solar power plant The neural network is trained based on measured data from the plant providing a way of scheduling between a set of PID controllers, a priori timed in different operating points by means of Takahashi rules. The present work consists in a hybrid scheme combining the potentialities of neural networks for approximation purposes with the well-know theory and widespread industrial application of BID techniques. Experimental results collected at Plataforma Solar de Almeria (Spain), show the effectiveness of the proposed approach

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Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on  (Volume:1 )

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