Evidence map›Paper›PMID 39738758›Full record

ArticleScientific reports2024

Optimal design of a novel modified electric eel foraging optimization (MEEFO) based super twisting sliding mode controller for controlling the speed of a switched reluctance motor.

Debiprasanna Das, Binod Kumar Sahu, Swagat Pati, Bhabasis Mohapatra, Debashis Sitikantha, Mohit Bajaj, Vojtech Blazek, Lukas Prokop

Erratum issuedAbstract read
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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. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Debiprasanna DasDepartment of Electrical Engineering, FET, ITER, Siksha 'O' Anusandhan Deemed to be University, Bhubaneswar, Odisha, India.
Binod Kumar SahuDepartment of Electrical Engineering, FET, ITER, Siksha 'O' Anusandhan Deemed to be University, Bhubaneswar, Odisha, India. binoditer@gmail.com.
Swagat PatiDepartment of Electrical Engineering, FET, ITER, Siksha 'O' Anusandhan Deemed to be University, Bhubaneswar, Odisha, India.
Bhabasis MohapatraDepartment of Electrical Engineering, FET, ITER, Siksha 'O' Anusandhan Deemed to be University, Bhubaneswar, Odisha, India.
Debashis SitikanthaDepartment of Electrical and Electronics Engineering, FET, ITER, Siksha 'O' Anusandhan Deemed to be University, Bhubaneswar, Odisha, India.
Mohit BajajDepartment of Electrical Engineering, Graphic Era (Deemed to be University), Dehradun, 248002, India. thebestbajaj@gmail.com.
Vojtech BlazekENET Centre, VSB-Technical University of Ostrava, Ostrava, 708 00, Czech Republic.
Lukas ProkopENET Centre, VSB-Technical University of Ostrava, Ostrava, 708 00, Czech Republic.

Funding

Ministry of Education, Youth and Sports TN02000025 National Centre for Energy IIMinistry of the Environment of the Czech Republic CZ.10.03.01/00/22_003/0000048
6 · The paper itself

Abstract

Switched Reluctance Motor (SRM) has a very high potential for adjustable speed drive operation due to their cost-effectiveness, high efficiency, robustness, simplicity, etc. Now a days SRMs are widely used in automotive industries as traction motors in electric vehicles and hybrid electric vehicles, air-conditioning compressors, and for other auxiliary services. In this article, a novel super twisting sliding mode controller (STSMC) is proposed to improve the performance of an SRM for reducing the ripple in speed and torque. Initially, a novel Modified Electric Eel Foraging Optimization (MEEFO) technique is developed by incorporating a quasi-oppositional phase and its performance is compared with the conventional Electric Eel Foraging Optimization (EEFO) technique with four popular benchmark functions. Then, both MEEFO and EEFO techniques are implemented to optimally design PI, SMC and STSMC controllers to effectively control the speed of an SRM. The study is carried in three different scenarios such as during starting, during a torque change and during a speed change. Finally, performance of the SRM in real time is studied with OPAL-RT 4510 simulator. It is observed that MEEFO based STSMC exhibits significant improvements in effectively controlling speed of the SRM, as compared to its other proposed counterparts.

Indexed as

Electric eel foraging optimization (EEFO)Modified electric eel foraging optimization (MEEFO)Real-time validationSliding mode controller (SMC)Speed controlSuper twisting sliding mode controller (STSMC)Switched reluctance motor (SRM)

Identifiers

PMID39738758
PMCPMC11685943

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LicenceCC BY-NC-ND
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Registered trials

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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.