Show simple item record

dc.contributor.advisorDr. Gabriela Ortiz Leónes
dc.contributor.authorAlpízar-Castillo, Joel Jesús
dc.date.accessioned2019-03-19T14:27:50Z
dc.date.available2019-03-19T14:27:50Z
dc.date.issued2018
dc.identifier.urihttp://hdl.handle.net/2238/10439
dc.descriptionProyecto Final de Graduación (Licenciatura en ingeniería Mecatrónica) Instituto Tecnológico de Costa Rica, Escuela de Ingeniería Mecatrónica, 2018.es
dc.description.abstractThe ocean is a perpetual source of energy that has being studied for the last decades in order to convert the energy from the waves and tides into electricity, through a clean process. So far, several devices have been designed for that purpose, including the Ocean Grazer, a novel energy harvesting device that will allow to extract up to 260 GWh per year and store up to 800 MWh from the waves, through a point absorber take-o system, ensuring a continuous supply to the grid. The system uses a novel multiple-piston multiple-pump (MP2) concept to maximize the extracted energy, however, a control strategy is required. In this project is presented a model predictive control (MPC) strategy with a port-Hamiltonian (pH) model using the open source language Python, with the advantage over other control strategies in the literature that doesn't require a wave prediction. Its open loop validation showed an acceptable accuracy when compared against a MATLAB counterpart, but taking considerable less computing time ( 28 times less). The control strategy was tested using a 2 1 oater array, resulting possible to obtain a piston con guration for the MP2 in few seconds, and guaranteeing an energy absorption with less than 5 % of error when compared with the theoretical maximum value.es
dc.language.isospaes
dc.publisherInstituto Tecnológico de Costa Ricaes
dc.subjectControles
dc.subjectModeloses
dc.subjectEnergíaes
dc.subjectModelado port- Hamiltonianoes
dc.subjectModeladoes
dc.subjectResearch Subject Categories::TECHNOLOGYes
dc.subjectIngeniería mecatrónicaes
dc.subjectResearch Subject Categories::TECHNOLOGY::Electrical engineering, electronics and photonicses
dc.subjectResearch Subject Categories::TECHNOLOGY::Engineering mechanicses
dc.titleModel Predictive Control Implementation for the Ocean Grazer Wave Energy Converter with a port-Hamiltonian Modeles
dc.typelicentiateThesises


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record