Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/6463
Title: An Adaptive Signal Processing Framework for PV Power Maximization
Authors: Vidal,AA
Vítor Grade Tavares
Principe,JC
Issue Date: 2015
Abstract: This paper discusses the possibility of using adaptive signal processing techniques for maximum power point tracking controllers, in order to extract peak power from individual photovoltaic modules. A new technique grounded on unsupervised Hebbian learning theory (maximum eigenvector of the output power) is presented, which works on-online and is capable of operating without a desired response. Important modifications were made to the generic Hebbian adaptation to accommodate the intrinsic feedback loop between the controller and the plant. Analytic derivation of the new update rule is presented, as well as stability analysis by means of Lyapunov theory. Simulation results showing its effectiveness are presented, as well as experimental results.
URI: http://repositorio.inesctec.pt/handle/123456789/6463
http://dx.doi.org/10.1007/s00034-015-9972-0
metadata.dc.type: article
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Appears in Collections:CTM - Articles in International Journals

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