Dataciencia

Colección SciELO Chile

A Review of Predictive Control Techniques for Switched Reluctance Machine Drives. Part II: Torque Control, Assessment and Challenges

Indexado

WoS	WOS:000655243400002
Scopus	SCOPUS_ID:85099082901

DOI

10.1109/TEC.2020.3047981

Año

2021

Tipo

revisión

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras

Abstract

This two-part survey presents the recent advances and developments of predictive control in switched reluctance machine drives. The aim is to highlight the potential of using predictive control to enhance the performance of these drives and make them more competitive with respect to conventional AC drives. The second part of this review presents the contributions in predictive torque control. The different approaches adopted in the literature regarding phase torque distribution, modelling and switching behaviour are discussed and analyzed in order to identify the current challenges and suggest future research. Further applications of predictive control are also described and a general conclusion on future applications and potential research based on the literature review are directed.

Revista

Revista	ISSN
Ieee Transactions On Energy Conversion	0885-8969

Métricas Externas

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Disciplinas de Investigación

WOS
Engineering, Electrical & Electronic
Energy & Fuels

Scopus
Energy Engineering And Power Technology
Electrical And Electronic Engineering

SciELO
Sin Disciplinas

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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional

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Autores - Afiliación

Ord.	Autor	Género	Institución - País
1	Valencia, Diego F.	Hombre	MCMASTER UNIV - Canadá McMaster University, Faculty of Engineering - Canadá
2	Tarvirdilu-Asl, Rasul	Hombre	MCMASTER UNIV - Canadá McMaster University, Faculty of Engineering - Canadá
3	GARCIA-PENAILILLO, CRISTIAN FRANCISCO	Hombre	Universidad de Talca - Chile
4	RODRIGUEZ-PEREZ, JOSE RAMON	Hombre	Universidad Nacional Andrés Bello - Chile
5	Emadi, Ali	-	MCMASTER UNIV - Canadá McMaster University, Faculty of Engineering - Canadá

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Origen de Citas Identificadas

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Citas identificadas: Las citas provienen de documentos incluidos en la base de datos de DATACIENCIA

Citas Identificadas: 3.23 %
Citas No-identificadas: 96.77 %

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Citas identificadas: Las citas provienen de documentos incluidos en la base de datos de DATACIENCIA

Citas Identificadas: 3.23 %
Citas No-identificadas: 96.77 %

Financiamiento

Fuente
Fondo Nacional de Desarrollo Científico y Tecnológico
Natural Sciences and Engineering Research Council of Canada
ANID
ANID/FONDECYT through Anillo Project
ANID/FONDECYT through Initiation Research Project
Natural Sciences, and Engineering Research Council of Canada (NSERC)
ANID/FONDECYT through Anillo Project
ANID/FONDECYT through Initiation Research Project

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Agradecimientos

Agradecimiento
This work was supported by the Natural Sciences, and Engineering Research Council of Canada (NSERC). The work of C. Garcia was supported by the support of ANID/FONDECYT through Initiation Research Project 11180235 and Anillo Project ACT192013. The work of J. Rodriguez was support by the ANID through Projects FB0008, ACT192013, and 1170167. Paper no. TEC-00429-2020.
Manuscript received May 5, 2020; revised November 19, 2020; accepted December 10, 2020. Date of publication December 29, 2020; date of current version May 21, 2021. This work was supported by the Natural Sciences, and Engineering Research Council of Canada (NSERC). The work of C. Garcia was supported by the support of ANID/FONDECYT through Initiation Research Project 11180235 and Anillo Project ACT192013. The work of J. Rodriguez was support by the ANID through Projects FB0008, ACT192013, and 1170167. Paper no. TEC-00429-2020. (Corresponding author: Diego F. Valencia.) Diego F. Valencia, Rasul Tarvirdilu-Asl, and Ali Emadi are with the McMaster Automotive Resource Center, McMaster University, Hamilton, ON L8P0A6, Canada (e-mail: valend1@mcmaster.ca; rasultarvirdilu@gmail.com; emadi@mcmaster.ca).

Agradecimiento

This work was supported by the Natural Sciences, and Engineering Research Council of Canada (NSERC). The work of C. Garcia was supported by the support of ANID/FONDECYT through Initiation Research Project 11180235 and Anillo Project ACT192013. The work of J. Rodriguez was support by the ANID through Projects FB0008, ACT192013, and 1170167. Paper no. TEC-00429-2020.

Manuscript received May 5, 2020; revised November 19, 2020; accepted December 10, 2020. Date of publication December 29, 2020; date of current version May 21, 2021. This work was supported by the Natural Sciences, and Engineering Research Council of Canada (NSERC). The work of C. Garcia was supported by the support of ANID/FONDECYT through Initiation Research Project 11180235 and Anillo Project ACT192013. The work of J. Rodriguez was support by the ANID through Projects FB0008, ACT192013, and 1170167. Paper no. TEC-00429-2020. (Corresponding author: Diego F. Valencia.) Diego F. Valencia, Rasul Tarvirdilu-Asl, and Ali Emadi are with the McMaster Automotive Resource Center, McMaster University, Hamilton, ON L8P0A6, Canada (e-mail: valend1@mcmaster.ca; rasultarvirdilu@gmail.com; emadi@mcmaster.ca).