Skip to content
DraconiticResearch
Search Sources API
203,952 studies31 sourcesUpdated 49 min ago
Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

Comparative performance analysis of adaptive neuro-fuzzy inference system, fuzzy logic, and neural network-based maximum power point tracking controllers for permanent magnet synchronous generator-based variable-speed wind energy conversion systems

  • Girmay Desalegn Hadush
  • Simon Fkadeamlak Gebremariam
  • Solomon Teklehaimanot Meresa
  • Belayneh Sisay Alemu
Open at sourcePDFDOICite

Related

  1. Verifying performance, stability, and feasibility of inexact non-linear model predictive controllers
    Rajiv Sambharya, Sribalaji C. Anand, George Pappas
    arXivPreprintCC BY-SA 4.0Full textOptimisation & controlarXiv
  2. Performance and energy consumption balanced optimization of ternary optical computers based on partially synchronous vacation queuing
    Liu Weiwen, Shi Wenqiang, Zhang Heqiang +3
    Scientific ReportsPeer-reviewedCC BYFull textGeneral medicineDOAJ
  3. Comparative genomics and super-resolution microscopy of novel cyanophages reveals genomic isomerism, auxiliary genes, and a non-synchronous infection process
    Yue Shi, Marcus Ziemann, Yang Zhao +4
    MicrobiomePeer-reviewedCC BY 4.0EcologyCrossref
  4. Slanted dielectric metagrating hosting exceptional points in momentum space for high-performance arbitrary-to-specific polarization conversion
    Jingyu Zhang, Yang Gao, TianFu Ma +3
    Optics ExpressPeer-reviewedLicence not statedOptics & photonicsCrossref
  5. Microstructure, Adhesion and Tribomechanical Performance of Zn–Mg–Ca- and Zn–Zr-Based Phosphate Conversion Coatings on Ti6Al4V Alloy
    Diana-Petronela Burduhos-Nergis, Nicoleta-Monica Lohan, Elena Matcovschi +5
    Materials (Basel, Switzerland)Peer-reviewedCC BYFull textEurope PMC

Cite

BibTeXRIS
BibTeX
@article{hadush2026comparative,
  title = {{Comparative performance analysis of adaptive neuro-fuzzy inference system, fuzzy logic, and neural network-based maximum power point tracking controllers for permanent magnet synchronous generator-based variable-speed wind energy conversion systems}},
  author = {Girmay Desalegn Hadush and Simon Fkadeamlak Gebremariam and Solomon Teklehaimanot Meresa and Belayneh Sisay Alemu},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-75162-3},
  url = {https://www.nature.com/articles/s41598-026-75162-3},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Comparative performance analysis of adaptive neuro-fuzzy inference system, fuzzy logic, and neural network-based maximum power point tracking controllers for permanent magnet synchronous generator-based variable-speed wind energy conversion systems
AU  - Girmay Desalegn Hadush
AU  - Simon Fkadeamlak Gebremariam
AU  - Solomon Teklehaimanot Meresa
AU  - Belayneh Sisay Alemu
PY  - 2026
DA  - 2026/10/18
JO  - Scientific Reports
DO  - 10.1038/s41598-026-75162-3
UR  - https://www.nature.com/articles/s41598-026-75162-3
SN  - 2045-2322
ER  -