dc.creator | Lin, Hao | es |
dc.creator | León Galván, José Ignacio | es |
dc.creator | Luo, Wensheng | es |
dc.creator | Márquez Alcaide, Abraham | es |
dc.creator | Liu, Jianxing | es |
dc.creator | Vázquez Pérez, Sergio | es |
dc.creator | García Franquelo, Leopoldo | es |
dc.date.accessioned | 2020-07-09T14:41:11Z | |
dc.date.available | 2020-07-09T14:41:11Z | |
dc.date.issued | 2020-01 | |
dc.identifier.citation | Lin, H., León Galván, J.I., Luo, W., Márquez Alcaide, A., Liu, J., Vázquez Pérez, S. y García Franquelo, L. (2020). Integral Sliding-Mode Control-Based Direct Power Control for Three-Level NPC Converters. Energies, 13 (1), Article number 227. | |
dc.identifier.issn | EISSN 1996-1073 | es |
dc.identifier.uri | https://hdl.handle.net/11441/99155 | |
dc.description.abstract | Three-level neutral-point-clamped (NPC) converter is widely used in energy conversion
systems due to its good properties for high-power systems presenting output waveforms with
reduced harmonic distortion. To obtain better system performance, an integral sliding-mode control
(ISMC)-based direct power control (DPC) strategy is proposed for NPC converters. The controller
achieves three objectives. First, an extended state observer (ESO)-based ISMC strategy, to enforce
the active and reactive power to their reference values, is applied in the power tracking loop. ESO is
used to reduce the influence of parameter uncertainties. Next, in the voltage regulation loop, a radial
basis function neural network (RBFNN)-based adaptive ISMC strategy is applied to regulate the
DC-link voltage. RBFNN is used to estimate the load variation, which is considered as a disturbance,
to improve the system disturbance rejection ability. An adaptive law is used in the controller to
reduce the chattering of reference active power which can reduce the current harmonic distortion.
Finally, a proportional-integral (PI) control strategy is applied in the voltage balancing loop to achieve
voltage balance between two DC-link capacitors. Experimental results show the effectiveness and
superiority of the proposed control strategy for the NPC power converter compared with PI-based
DPC strategy. | es |
dc.description.sponsorship | National Natural Science Foundation of China 61525303 | es |
dc.description.sponsorship | National Natural Science Foundation of China 41772377 | es |
dc.description.sponsorship | National Natural Science Foundation of China 61673130 | es |
dc.description.sponsorship | Laboratorio Estatal Clave de Robótica y Sistema (HIT) SKLRS201806B | es |
dc.format | application/pdf | es |
dc.format.extent | 20 p. | es |
dc.language.iso | eng | es |
dc.publisher | MDPI | es |
dc.relation.ispartof | Energies, 13 (1), Article number 227. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Three-level neutral-point-clamped converter | es |
dc.subject | Integral sliding-mode control | es |
dc.subject | Extended state observer | es |
dc.subject | Radial basis function neural network | es |
dc.title | Integral Sliding-Mode Control-Based Direct Power Control for Three-Level NPC Converters | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería Electrónica | es |
dc.relation.projectID | 61525303 | es |
dc.relation.projectID | 41772377 | es |
dc.relation.projectID | 61673130 | es |
dc.relation.projectID | SKLRS201806B | es |
dc.relation.publisherversion | https://doi.org/10.3390/en13010227 | es |
dc.identifier.doi | 10.3390/en13010227 | es |
dc.journaltitle | Energies | es |
dc.publication.volumen | 13 | es |
dc.publication.issue | 1 | es |
dc.publication.initialPage | Article number 227 | es |
dc.identifier.sisius | 21904677 | es |
dc.contributor.funder | National Natural Science Foundation of China | es |
dc.contributor.funder | Laboratorio Estatal Clave de Robótica y Sistema (HIT) | es |