Fractional Modelling, Identification and Control: Theoretical Developments and Applications

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Control of the archimedes wave swing using neural networks

Publication . Beirão, Pedro; Mendes, Mário J. G. C.; Valério, Duarte; Costa, José Sá da

This paper addresses the control of the Archimedes Wave Swing, a fully-submerged Wave Energy Converter (WEC), of which a prototype has already been built and tested. Simulation results are presented in which Internal Model Control (IMC) is used, both with linear models and with non-linear neural network (NN) models. To the best of our knowledge this is the ﬁrst time NN-based control is being applied to design a controller for a WEC. NNs are a mathematical tool suitable to model the behaviour of dynamic systems, both linear and non-linear (as in our case). Signiﬁcant absorbed wave energy increases were found, both using linear models and NNs. Results were better when IMC with NNs was employed (with a nearly sixfold increase against a ﬁvefold increase), except for the May—September period, when IMC with linear models performs better.

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Entidade financiadora

Fundação para a Ciência e a Tecnologia

Programa de financiamento

3599-PPCDT

Número da atribuição

PTDC/EME-CRO/70341/2006