Optimization of switched reluctance motor drive firing angles using grey Wolf optimizer for torque ripples minimization

Mahdi Debouza; Ahmed Al-Durra; Hany M. Hasanien; Siyu Leng; Wesam Taha

doi:10.1109/IECON.2018.8591473

Optimization of switched reluctance motor drive firing angles using grey Wolf optimizer for torque ripples minimization

Mahdi Debouza
, Ahmed Al-Durra
, Hany M. Hasanien
, Siyu Leng
, Wesam Taha

Electrical Engineering

Ain Shams University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

13 Scopus citations

Abstract

Switched reluctance motor (SRM) has various advantages which makes it an excellent candidate for many applications; nevertheless, its main drawback is torque ripples. This paper aims to enhance the SRM operation by reducing its torque ripples without the need for expensive and sophisticated physical changes in the motor materials or design. The SRM converter firing angles are optimized to produce the lowest possible torque ripples. The response surface method (RSM) is used to obtain the SRM optimization function that relates torque ripples with firing angles, and grey wolf optimizer (GWO) is used to minimize this function. The objective function convergence speed using the proposed GWO is compared with genetic algorithm (GA), and it is found to be faster than GA. Simulation and experimental results show the effectiveness of the proposed approach in enhancing SRM operation by providing the SRM converter firing angles that result the minimum feasible torque ripples.

Original language	British English
Title of host publication	Proceedings
Subtitle of host publication	IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	619-624
Number of pages	6
ISBN (Electronic)	9781509066841
DOIs	https://doi.org/10.1109/IECON.2018.8591473
State	Published - 26 Dec 2018
Event	44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018 - Washington, United States Duration: 20 Oct 2018 → 23 Oct 2018

Publication series

Name	Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society

Conference

Conference	44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018
Country/Territory	United States
City	Washington
Period	20/10/18 → 23/10/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Electric drives (ED)
Grey Wolf optimizer (GWO)
Response surface method (RSM)
Switched reluctance motor (SRM)

Access to Document

10.1109/IECON.2018.8591473

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Debouza, M., Al-Durra, A., Hasanien, H. M., Leng, S., & Taha, W. (2018). Optimization of switched reluctance motor drive firing angles using grey Wolf optimizer for torque ripples minimization. In Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society (pp. 619-624). Article 8591473 (Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IECON.2018.8591473

Debouza, Mahdi ; Al-Durra, Ahmed ; Hasanien, Hany M. et al. / Optimization of switched reluctance motor drive firing angles using grey Wolf optimizer for torque ripples minimization. Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 619-624 (Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society).

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title = "Optimization of switched reluctance motor drive firing angles using grey Wolf optimizer for torque ripples minimization",

abstract = "Switched reluctance motor (SRM) has various advantages which makes it an excellent candidate for many applications; nevertheless, its main drawback is torque ripples. This paper aims to enhance the SRM operation by reducing its torque ripples without the need for expensive and sophisticated physical changes in the motor materials or design. The SRM converter firing angles are optimized to produce the lowest possible torque ripples. The response surface method (RSM) is used to obtain the SRM optimization function that relates torque ripples with firing angles, and grey wolf optimizer (GWO) is used to minimize this function. The objective function convergence speed using the proposed GWO is compared with genetic algorithm (GA), and it is found to be faster than GA. Simulation and experimental results show the effectiveness of the proposed approach in enhancing SRM operation by providing the SRM converter firing angles that result the minimum feasible torque ripples.",

keywords = "Electric drives (ED), Grey Wolf optimizer (GWO), Response surface method (RSM), Switched reluctance motor (SRM)",

author = "Mahdi Debouza and Ahmed Al-Durra and Hasanien, \{Hany M.\} and Siyu Leng and Wesam Taha",

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Debouza, M, Al-Durra, A, Hasanien, HM, Leng, S & Taha, W 2018, Optimization of switched reluctance motor drive firing angles using grey Wolf optimizer for torque ripples minimization. in Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society., 8591473, Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society, Institute of Electrical and Electronics Engineers Inc., pp. 619-624, 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018, Washington, United States, 20/10/18. https://doi.org/10.1109/IECON.2018.8591473

Optimization of switched reluctance motor drive firing angles using grey Wolf optimizer for torque ripples minimization. / Debouza, Mahdi; Al-Durra, Ahmed; Hasanien, Hany M. et al.
Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society. Institute of Electrical and Electronics Engineers Inc., 2018. p. 619-624 8591473 (Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Debouza, Mahdi

AU - Al-Durra, Ahmed

AU - Hasanien, Hany M.

AU - Leng, Siyu

AU - Taha, Wesam

PY - 2018/12/26

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AB - Switched reluctance motor (SRM) has various advantages which makes it an excellent candidate for many applications; nevertheless, its main drawback is torque ripples. This paper aims to enhance the SRM operation by reducing its torque ripples without the need for expensive and sophisticated physical changes in the motor materials or design. The SRM converter firing angles are optimized to produce the lowest possible torque ripples. The response surface method (RSM) is used to obtain the SRM optimization function that relates torque ripples with firing angles, and grey wolf optimizer (GWO) is used to minimize this function. The objective function convergence speed using the proposed GWO is compared with genetic algorithm (GA), and it is found to be faster than GA. Simulation and experimental results show the effectiveness of the proposed approach in enhancing SRM operation by providing the SRM converter firing angles that result the minimum feasible torque ripples.

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Debouza M, Al-Durra A, Hasanien HM, Leng S, Taha W. Optimization of switched reluctance motor drive firing angles using grey Wolf optimizer for torque ripples minimization. In Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society. Institute of Electrical and Electronics Engineers Inc. 2018. p. 619-624. 8591473. (Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society). doi: 10.1109/IECON.2018.8591473

Optimization of switched reluctance motor drive firing angles using grey Wolf optimizer for torque ripples minimization

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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