On Neural Observer in Dynamic Sliding Mode Control of Permanent Magnet Synchronous Wind Generator
dc.contributor.author | Karami-Mollaee, Ali | |
dc.contributor.author | Barambones, Oscar ![]() | |
dc.date.accessioned | 2024-07-30T09:42:48Z | |
dc.date.available | 2024-07-30T09:42:48Z | |
dc.date.issued | 2024-07-19 | |
dc.identifier.citation | Mathematics 12(14) : (2024) // Article ID 2246 | es_ES |
dc.identifier.issn | 2227-7390 | |
dc.identifier.uri | http://hdl.handle.net/10810/69082 | |
dc.description.abstract | The captured energy of a wind turbine (WT) can be converted into electricity by a generator. Therefore, to improve the efficiency of this system, both the structures of WTs and generators should be considered for control. But the present challenge is WT uncertainty, while the input signals to the generator should be smooth. In this paper, a permanent magnet synchronous generator (PMSG) is considered. The dynamics of the PMSG can be described using two axes, named d-q reference frameworks, with an input in each framework direction. To obtain the maximum power and to overcome the uncertainty by means of a smooth signal, the dynamic sliding mode controller (D-SMC) is implemented. In the D-SMC, an integrator is placed in the control scheme in order to suppress the chattering, because it acts like a low-pass filter. To estimate the state added by the integrator, a new observer-based neural network (ONN) is proposed. The proof of the stability of the D-SMC and ONN is based on Lyapunov theory. To prove the advantages of the D-SMC, a comparison was also carried out by traditional sliding mode control (T-SMC) with a similar ONN. From this comparison, we know that the advantages of the D-SMC are clear in terms of real implementation, concept, and chattering suppression. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/es/ | |
dc.subject | wind turbine | es_ES |
dc.subject | permanent magnet synchronous generator | es_ES |
dc.subject | observer-based neural network | es_ES |
dc.subject | sliding mode control | es_ES |
dc.subject | chattering | es_ES |
dc.title | On Neural Observer in Dynamic Sliding Mode Control of Permanent Magnet Synchronous Wind Generator | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.date.updated | 2024-07-26T12:29:51Z | |
dc.rights.holder | © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/). | es_ES |
dc.relation.publisherversion | https://www.mdpi.com/2227-7390/12/14/2246 | es_ES |
dc.identifier.doi | 10.3390/math12142246 | |
dc.departamentoes | Ingeniería de sistemas y automática | |
dc.departamentoeu | Sistemen ingeniaritza eta automatika |
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Except where otherwise noted, this item's license is described as © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).