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University of Suceava
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Print ISSN: 1582-7445
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doi: 10.4316/AECE


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  3/2022 - 6

Torque Ripple Reduction in SR Motor Operating without Rotor Position Sensor

ABDELMAKSOUD, H. See more information about ABDELMAKSOUD, H. on SCOPUS See more information about ABDELMAKSOUD, H. on IEEExplore See more information about ABDELMAKSOUD, H. on Web of Science, SHAABAN, S. See more information about SHAABAN, S. on SCOPUS See more information about SHAABAN, S. on SCOPUS See more information about SHAABAN, S. on Web of Science
 
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Download PDF pdficon (1,450 KB) | Citation | Downloads: 526 | Views: 620

Author keywords
AC machines, machine control, motor drives, observers, torque control

References keywords
torque(26), switched(25), reluctance(25), motor(17), ripple(15), control(12), sharing(9), electronics(9), function(7), electric(7)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2022-08-31
Volume 22, Issue 3, Year 2022, On page(s): 53 - 60
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2022.03006
Web of Science Accession Number: 000861021000006
SCOPUS ID: 85137703707

Abstract
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Principle of sequential excitation for stator windings of switched reluctance motor (SRM) causes many problems including torque ripples and substantial requirement for rotor position sensing. This paper presents an online torque sharing function (TSF) to minimize the undesirable torque ripples in SRM which operates under sensorless drive system. In classical TSF, variance between incoming and outgoing motor torque responses makes tracking of motor torque to reference torque cannot be achieved. Moreover, the TSFs are mainly designed for operating at rated speed. As motor speed changes, the torque ripples increase because the commutation period (CP) becomes inappropriate for commutation process. The proposed TSF is designed to guarantee the good matching between the motor torque response and TSF reference. So, a linear function is chosen as a torque reference for the incoming phase while an exponential function is selected for the outgoing phase. Additionally, the online tuning of commutation period is employed in the proposed hybrid TSF. The sliding mode observer (SMO) based model is formulated for rotor position and speed estimations purpose. The performance of the modified TSF is validated throughout computer simulations and experimental results. Furthermore, the comparisons between the proposed TSF and conventional TSF are carried out.


References | Cited By  «-- Click to see who has cited this paper

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[CrossRef]


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[CrossRef] [Web of Science Times Cited 145] [SCOPUS Times Cited 175]


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References Weight

Web of Science® Citations for all references: 2,164 TCR
SCOPUS® Citations for all references: 2,892 TCR

Web of Science® Average Citations per reference: 70 ACR
SCOPUS® Average Citations per reference: 93 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-04-25 02:02 in 200 seconds.




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