Evidence map›Paper›PMID 38834739›Full record

ArticleScientific reports2024

A dSPACE-based implementation of ANFIS and predictive current control for a single phase boost power factor corrector.

Badreddine Babes, Samia Latrèche, Amar Bouafassa, Oualid Aissa, Abd Essalam Badoud, Mabrouk Khemliche, Mohit Bajaj, Ievgen Zaitsev

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Badreddine BabesResearch Center in Industrial Technologies CRTI, Algiers, Algeria.
Samia LatrècheAutomatic Laboratory of Sétif-LAS, Faculty of Technology, University of Ferhat Abbas Setif-1, Setif, Algeria.
Amar BouafassaLGEPC Laboratory, National Polytechnic School of Constantine, Constantine, Algeria.
Oualid AissaLPMRN Laboratory, Faculty of Sciences and Technology, University of Bordj Bou Arreridj, El Anceur, Algeria.
Abd Essalam BadoudAutomatic Laboratory of Sétif-LAS, Faculty of Technology, University of Ferhat Abbas Setif 1, Setif, Algeria. badoudabde@univ-setif.dz.
Mabrouk KhemlicheAutomatic Laboratory of Sétif-LAS, Faculty of Technology, University of Ferhat Abbas Setif 1, Setif, Algeria.
Mohit BajajDepartment of Electrical Engineering, Graphic Era (Deemed to be University), Dehradun, 248002, India. thebestbajaj@gmail.com.
Ievgen ZaitsevDepartment of Theoretical Electrical Engineering and Diagnostics of Electrical Equipment, Institute of Electrodynamics, National Academy of Sciences of Ukraine, Peremogy, 56, Kyiv-57, 03680, Ukraine. zaitsev@i.ua.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents an innovative control scheme designed to significantly enhance the power factor of AC/DC boost rectifiers by integrating an adaptive neuro-fuzzy inference system (ANFIS) with predictive current control. The innovative control strategy addresses key challenges in power quality and energy efficiency, demonstrating exceptional performance under diverse operating conditions. Through rigorous simulation, the proposed system achieves precise input current shaping, resulting in a remarkably low total harmonic distortion (THD) of 3.5%, which is well below the IEEE-519 standard threshold of 5%. Moreover, the power factor reaches an outstanding 0.990, indicating highly efficient energy utilization and near-unity power factor operation. To validate the theoretical findings, a 500 W laboratory prototype was implemented using the dSPACE ds1104 digital controller. Steady-state analysis reveals sinusoidal input currents with minimal THD and a power factor approaching unity, thereby enhancing grid stability and energy efficiency. Transient response tests further demonstrate the system's robustness against load and voltage fluctuations, maintaining output voltage stability within an 18 V overshoot and a 20 V undershoot during load changes, and achieving rapid response times as low as 0.2 s. Comparative evaluations against conventional methods underscore the superiority of the proposed control strategy in terms of both performance and implementation simplicity. By harnessing the strengths of ANFIS-based voltage regulation and predictive current control, this scheme offers a robust solution to power quality issues in AC/DC boost rectifiers, promising substantial energy savings and improved grid stability. The results affirm the potential of the proposed system to set new benchmarks in power factor correction technology.

Indexed as

Adaptive neuro-fuzzy inference system (ANFIS)dSPACE ds1104Energy efficiencyGrid stabilityIEEE-519 standardPower factor correction (PFC)Predictive current control (PCC)Total harmonic distortion (THD)

Identifiers

PMID38834739
PMCPMC11150512

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.