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JCR Impact Factor: 0.800
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Current issue: May 2024
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PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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2023-Jun-28
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SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

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2021-Jun-30
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  2/2020 - 14

 HIGHLY CITED PAPER 

Design of an Adaptive Flux Observer for Sensorless Switched Reluctance Motors Using Lyapunov Theory

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, ZAKY, M. See more information about ZAKY, M. on SCOPUS See more information about ZAKY, M. on SCOPUS See more information about ZAKY, M. on Web of Science
 
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Download PDF pdficon (1,686 KB) | Citation | Downloads: 753 | Views: 2,394

Author keywords
AC machines, Lyapunov methods, motor drives, observers, state estimation

References keywords
reluctance(27), switched(26), sensor(22), position(20), motor(15), control(15), electronics(13), applications(13), power(12), estimation(11)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2020-05-31
Volume 20, Issue 2, Year 2020, On page(s): 123 - 130
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2020.02014
Web of Science Accession Number: 000537943500014
SCOPUS ID: 85087447190

Abstract
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This paper proposes an adaptive flux observer for a sensorless switched reluctance motor. The observer adaptive gains are designed using the Lyapunov theory to guarantee both the accuracy and stability of the sensorless control of a switched reluctance motor. A nonlinear inductance model is developed based on a finite element analysis data and used in the estimation algorithms for rotor position and speed. The adaptive flux observer estimates the rotor position at low, medium, and high speeds. A low-frequency ramp method is proposed to excite the switched reluctance motor during standstill where the voltage and current signals are unobservable. The proposed hybrid method is characterized by simplicity, accuracy, ease of implementation, and low real-time computation burden. Therefore, the sensorless control technique depends only on active phase measurements without extra hardware and memory storage for real-time implementation. Complete sensorless control of a three-phase 6/4-pole switched reluctance motor drive system is carried out using Matlab/Simulink. Also, it is implemented experimentally in real-time using the digital signal processor-DS1102 control board. The simulation and experimental results of the proposed sensorless scheme demonstrate the accurate estimation of both the speed and rotor position during the transient and steady states.


References | Cited By

Cited-By Clarivate Web of Science

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Cited-By SCOPUS

SCOPUS® Times Cited: 6
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Cited-By CrossRef

[1] Research on Torque Ripple Minimization of Double-stator Switched Reluctance Motor Using Finite Element Method, Das GUPTA, T., CHAUDHARY, K., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 21, 2021.
Digital Object Identifier: 10.4316/AECE.2021.04015
[CrossRef] [Full text]

[2] Rotor Position Estimation Approaches for Sensorless Control of Permanent Magnet Traction Motor in Electric Vehicles: A Review, Li, Yong, Wu, Hao, Xu, Xing, Sun, Xiaodong, Zhao, Jindong, World Electric Vehicle Journal, ISSN 2032-6653, Issue 1, Volume 12, 2021.
Digital Object Identifier: 10.3390/wevj12010009
[CrossRef]

[3] Phase flux linkage estimation of external rotor switched reluctance motor with NARX neural network, Aydemir, Mustafa, Okumus, Halil Ibrahim, Electrical Engineering, ISSN 0948-7921, Issue 2, Volume 105, 2023.
Digital Object Identifier: 10.1007/s00202-022-01726-x
[CrossRef]

[4] An Overview of Position Sensorless Techniques for Switched Reluctance Machine Systems, Tang, Xingtao, Sun, Xiaodong, Yao, Ming, Applied Sciences, ISSN 2076-3417, Issue 7, Volume 12, 2022.
Digital Object Identifier: 10.3390/app12073616
[CrossRef]

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Stefan cel Mare University of Suceava, Romania


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