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Advisor(s)
Abstract(s)
Control switching is applied to the Archimedes Wave Swing (AWS), a device designed to convert the energy of sea waves into electricity. Previous simulations showed that energy production can be significantly increased using Internal Model Control, together with direct and inverse Elman Neural Network (NN) models of the AWS, and a reference based upon the phase and amplitude control strategy. Since the best performance was achieved by different NN models depending on the month of the year, further simulations were carried out showing that switching between diferente controllers, corresponding to diferente models, according to the spectrum of the incoming wave,further increases energy production.
Description
Keywords
Wave energy conversion Neural networks Internal Model Control Switching algorithms Archimedes wave swing
Citation
VALÉRIO, Duarte; [et al] – Switching control of the archimedes wave swing. In CONTROLO’08 - 8th Portuguese Conference on Automatic Control. Vila Real, Portugal: APCA, 2008. Pp. 106-111