Valério, DuarteMendes, Mário J. G. C.Beirão, PedroCosta, José Sá da2019-12-032019-12-032008-07VALÉRIO, Duarte; [et al] – Identification and control of the AWS using neural network models. Applied Ocean Research. ISSN 0141-1187. Vol. 30, N.º 3 (2008), pp. 178-1880141-1187http://hdl.handle.net/10400.21/10785The Archimedes Wave Swing (AWS) is a a fully-submerged Wave Energy Converter (WEC), that is to say, a device that converts the energy of sea waves into electricity. A first prototype of the AWS has already been built and tested. In this paper, neural network (NN) models for this AWS prototype are developed. NNs are then used together with proven control strategies (phase and amplitude control, internal model control and switching control) to maximise energy production. Simulations show an yearly average electricity production increase of 160% over the performance of the original AWS controller.engWave energyArchimedes wave swingPhase and amplitude controlNeural networksInternal model controlSwitching controljournal articlehttps://doi.org/10.1016/j.apor.2008.11.002