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dc.contributor.authorLi, Gen_US
dc.contributor.authorBelmont, MRen_US
dc.date.accessioned2017-01-16T16:36:57Z
dc.date.available2014-03-26en_US
dc.date.issued2014-04-24en_US
dc.date.submitted2016-12-08T15:57:49.809Z
dc.identifier.issn0960-1481en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/18799
dc.description.abstractThis paper investigates model predictive control (MPC) of a single sea wave energy converter (WEC). By using control schemes which constrain certain quantities, such as the maximum size of the feedback force, the energy storage for actuators and relative heave motion, it is possible for control to not only improve performance but to directly impact strongly on design and cost. Motivated by this fact, a novel objective function is adopted in the MPC design, which brings obvious benefits: First, the quadratic program (QP) derived from this objective function can be easily convexified, which facilitates the employment of existing efficient optimization algorithms. Second, this novel design can trade off the energy extraction, the energy consumed by the actuator and safe operation. Moreover, an alternative QP is also formulated with the input slew rate as optimization variable, so that the slew rate limit of an actuator can be explicitly incorporated into optimization. All these benefits promote the real-time application of MPC on a WEC and reduced cost of hardware.en_US
dc.format.extent453 - 463 (10)en_US
dc.languageEnglishen_US
dc.publisherPergamonen_US
dc.relation.ispartofRenewable Energyen_US
dc.subjectQuadratic programmingen_US
dc.subjectModel predictive controlen_US
dc.subjectWave energyen_US
dc.titleModel predictive control of sea wave energy converters–Part I: A convex approach for the case of a single deviceen_US
dc.typeArticle
dc.rights.holderhttp://dx.doi.org/10.1016/j.renene.2014.03.070
dc.identifier.doi10.1016/j.renene.2014.03.070en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.publisher-urlhttp://www.sciencedirect.com/science/article/pii/S0960148114002456en_US
pubs.volume69en_US
dcterms.dateAccepted2014-03-26en_US


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