ArticleScientific reports2025
Robust direct voltage control of stand-alone DFIG wind systems using a fractional-order fuzzy logic approach.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Experimental evaluation of an advanced rooted tree optimization based super twisting sliding mode power control for variable-speed wind turbine systems.Scientific reports · 2026Article
- Robust low complexity multisurface super twisting sliding mode control for DFIG systems.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper proposes a novel control strategy for stand-alone doubly fed induction generator (DFIG)-based wind energy systems by integrating fractional-order operators into a fuzzy logic control (FLC) framework. Conventional FLC approaches typically use integer-order operators, which may restrict the system's adaptability and dynamic performance. In this work, the standard integral and derivative components are replaced with fractional-order counterparts, resulting in a fractional-order fuzzy logic (FOFL) controller with a more flexible and tunable control architecture. This enhancement enables finer adjustment of the system response and improved robustness against external disturbances. The FOFL controller is applied within a direct voltage control (DVC) scheme to control the stator voltage and frequency. The performance of the proposed FOFL-DVC strategy is validated through simulation in MATLAB/Simulink and real-time experimental testing using a dSPACE-1104 platform. Results demonstrate that the FOFL-DVC strategy achieves high performance under both steady-state and transient conditions, ensuring stable operation under various wind speed and load disturbance.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.