Click to open the HelpDesk interface
AECE - Front page banner

Menu:


FACTS & FIGURES

JCR Impact Factor: 0.700
JCR 5-Year IF: 0.700
SCOPUS CiteScore: 1.8
Issues per year: 4
Current issue: May 2024
Next issue: Aug 2024
Avg review time: 56 days
Avg accept to publ: 60 days
APC: 300 EUR


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


TRAFFIC STATS

2,635,510 unique visits
1,046,211 downloads
Since November 1, 2009



Robots online now
Googlebot


SCOPUS CiteScore

SCOPUS CiteScore


SJR SCImago RANK

SCImago Journal & Country Rank




TEXT LINKS

Anycast DNS Hosting
MOST RECENT ISSUES

 Volume 24 (2024)
 
     »   Issue 2 / 2024
 
     »   Issue 1 / 2024
 
 
 Volume 23 (2023)
 
     »   Issue 4 / 2023
 
     »   Issue 3 / 2023
 
     »   Issue 2 / 2023
 
     »   Issue 1 / 2023
 
 
 Volume 22 (2022)
 
     »   Issue 4 / 2022
 
     »   Issue 3 / 2022
 
     »   Issue 2 / 2022
 
     »   Issue 1 / 2022
 
 
 Volume 21 (2021)
 
     »   Issue 4 / 2021
 
     »   Issue 3 / 2021
 
     »   Issue 2 / 2021
 
     »   Issue 1 / 2021
 
 
  View all issues  


FEATURED ARTICLE

Application of the Voltage Control Technique and MPPT of Stand-alone PV System with Storage, HIVZIEFENDIC, J., VUIC, L., LALE, S., SARIC, M.
Issue 1/2022

AbstractPlus






LATEST NEWS

2024-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
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.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 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 2021 is 2.5, the same as for 2020 but better than all our previous results.

Read More »


    
 

  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
 
View the paper record and citations in View the paper record and citations in Google Scholar
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,686 KB) | Citation | Downloads: 765 | Views: 2,400

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
Quick view
Full text preview
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  «-- Click to see who has cited this paper

[1] I. Husain, S. Hossain, "Modeling, simulation, and control of switched reluctance motor drives," IEEE Transactions on Industrial Electronics, vol. 52, no. 6, pp. 1625-1634, 2005.
[CrossRef] [Web of Science Times Cited 136] [SCOPUS Times Cited 188]


[2] K. Vijayakumar, R. Karthikeyan, S. Paramasivam, R. Arumugam, K. Srinivas, "Switched reluctance motor modeling, design, simulation, and analysis: a comprehensive review," IEEE Transactions on Magnetics, vol. 44, no. 12, pp. 4605-4617, 2008.
[CrossRef] [Web of Science Times Cited 134] [SCOPUS Times Cited 175]


[3] G. Lopez, P. Kjaer, T. Miller, "High-grade position estimation for SRM drives using flux linkage/current correction model," IEEE Transactions on Industry Applications, vol. 35, no. 4, pp. 859-869, 1999.
[CrossRef] [Web of Science Times Cited 47] [SCOPUS Times Cited 79]


[4] J. Kim, R. Kim, "Online sensorless position estimation for switched reluctance motors using characteristics of overlap position based on inductance profile," IET Electrical Power Applications, vol. 13, no. 4, pp. 456-462, 2019.
[CrossRef] [Web of Science Times Cited 13] [SCOPUS Times Cited 16]


[5] D. Panda, V. Ramanarayanan, "Mutual coupling and its effect on steady-state performance and position estimation of even and odd number phase switched reluctance motor drive," IEEE Transactions on Magnetics, vol. 43, no. 8, pp. 3445-3456, 2007.
[CrossRef] [Web of Science Times Cited 57] [SCOPUS Times Cited 77]


[6] S. Hossain, I. Husain, H. Klode, B. Lequesne, A. Omekanda, S. Gopalakrishnan, "Four-quadrant and zero-speed sensorless control of a switched reluctance motor", IEEE Transactions on Industry Applications, vol. 39, no. 5, pp. 1343-1349, 2003.
[CrossRef] [Web of Science Times Cited 57] [SCOPUS Times Cited 88]


[7] Y. Tang, Y. He1, F. Wang, D. Lee, J. Ahn, R. Kennel, "Back-EMF-based sensorless control system of hybrid SRM for high-speed operation," IET Electrical Power Applications, vol. 12, no. 6, pp. 867-873, 2018.
[CrossRef] [Web of Science Times Cited 18] [SCOPUS Times Cited 18]


[8] C. Gan, J. Wu, Y. Hu, S. Yang, W. Cao, J. Kirtley, "Online sensorless position estimation for switched reluctance motors using one current sensor," IEEE Transactions Power Electronics, vol. 31, no. 10, pp. 7248-7263, 2016.
[CrossRef] [Web of Science Times Cited 68] [SCOPUS Times Cited 89]


[9] M. Krishnamurthy, C. Edrington, B. Fahimi, "Prediction of rotor position at standstill and rotating shaft conditions in switched reluctance machines," IEEE Transactions Power Electronics, vol. 21, no. 1, pp. 255-263, 2006.
[CrossRef] [Web of Science Times Cited 82] [SCOPUS Times Cited 106]


[10] S. Hossain, I. Husain, "A geometry based simplified analytical model of switched reluctance machines for real-time controller implementation," IEEE Transactions Power Electronics, vol. 18, no. 6, pp. 4605-4617, 2003.
[CrossRef] [Web of Science Times Cited 34] [SCOPUS Times Cited 48]


[11] M. Islam, I. Husain, "Torque-ripple minimization with indirect position and speed sensing for switched reluctance motors," IEEE Transactions on Industrial Electronics, vol. 47, no. 5, pp. 1126-1133, 2000.
[CrossRef] [Web of Science Times Cited 32] [SCOPUS Times Cited 40]


[12] L. Xu, C. Wang, "Accurate Rotor position detection and sensorless control of SRM for super-high operation," IEEE Transactions Power Electronics, vol. 17, no. 5, pp. 757-763, 2002.
[CrossRef] [Web of Science Times Cited 44] [SCOPUS Times Cited 56]


[13] G. Pasquesoone, R. Mikail, I. Husain, "Position estimation at starting and lower speed in three-phase switched reluctance machines using pulse injection and two thresholds," IEEE Transactions on Industry Applications, vol. 47, no.4, pp. 1724-1731, 2011.
[CrossRef] [Web of Science Times Cited 94] [SCOPUS Times Cited 115]


[14] H. Cheng, H. Chen, S. Xu, S. Yang, "Four-quadrant sensorless control in switched reluctance machine drive using pulse injection based on special flux linkage curves," IET Electrical Power Applications, vol. 11, no. 9, pp. 1566-1574, 2017.
[CrossRef] [Web of Science Times Cited 19] [SCOPUS Times Cited 22]


[15] J. Cai, Z. Deng, "Initial rotor position estimation and sensorless control of SRM based on coordinate transformation," IEEE Transactions Instrumentation and Measurement, vol. 64, no. 4, pp. 1004-1018, 2015.
[CrossRef] [Web of Science Times Cited 66] [SCOPUS Times Cited 77]


[16] S. Paramasivam, S. Vijayan, M. Vasudevan, R. Arumugam, R. Krishnan, "Real-time verification of AI based rotor position estimation techniques for a 6/4 pole switched reluctance motor drive," IEEE Transactions on. Magnetics, vol. 43, no. 7, pp. 3209-3222, 2007.
[CrossRef] [Web of Science Times Cited 65] [SCOPUS Times Cited 94]


[17] C. Hudson, N. Lobo, R. Krishnan, "Sensorless control of single switch-based switched reluctance motor drive using neural network," IEEE Transactions on Industrial Electronics, vol. 55, no. 1, pp. 321-329, 2008.
[CrossRef] [Web of Science Times Cited 95] [SCOPUS Times Cited 120]


[18] Y. Cai, Y. Wang, H. Xu, S. Sun, C. Wang, L. Sun, "Research on rotor position model for switched reluctance motor using neural network," IEEE/ASME Transactions of Mechatronics, vol. 23, no. 6, pp. 2762-2773, 2018.
[CrossRef] [Web of Science Times Cited 48] [SCOPUS Times Cited 63]


[19] N. Ertugrul, D. Cheok, "Indirect angle estimation in switched reluctance motor drives using fuzzy logic based motor model," IEEE Transactions Power Electronics, vol. 15, no. 6, pp. 1029-1044, 2000.
[CrossRef] [Web of Science Times Cited 39] [SCOPUS Times Cited 55]


[20] E. Mese, D. Torrey, "An approach for sensorless position estimation for switched reluctance motors using artificial neural networks," IEEE Transactions Power Electronics, vol. 17, no. 1, pp. 66-75, 2002.
[CrossRef] [Web of Science Times Cited 116] [SCOPUS Times Cited 163]


[21] E. Ofori, T. Husain, Y. Sozer, I. Husain, "A pulse-injection-based sensorless position estimation method for a switched reluctance machine over a wide speed range," IEEE Transactions on Industry Applications, vol. 51, no. 5, pp. 3867-3876, 2015.

[22] N. Chen, G. Cao, S. Huang, J. Sun, "Sensorless control of planar switched reluctance motors based on voltage injection combined with core-loss calculation," IEEE Transactions on Industrial Electronics, Oct. 2019.
[CrossRef] [Web of Science Times Cited 12] [SCOPUS Times Cited 15]


[23] K. Hu, Y. Chen and C. Liaw, "A reversible position sensorless controlled switched-reluctance motor drive with adaptive and intuitive commutation tunings," IEEE Transactions on Power Electronics, vol. 30, no. 7, pp. 3781-3793, 2015.
[CrossRef] [Web of Science Times Cited 50] [SCOPUS Times Cited 60]


[24] A. Khalil, I. Husain, S. Hossain, S. Gopalakrishnan, A. Omekanda, B. Lequesne, H. Klode, "A hybrid sensorless SRM drive with eight- and six-switch converter topologies," IEEE Transactions on Industry Applications, vol. 41, no. 6, pp. 1647-1655, 2005.
[CrossRef] [Web of Science Times Cited 25] [SCOPUS Times Cited 30]


[25] J. Bu, L. Xu, "Eliminating starting hesitation for reliable sensorless control of switched reluctance motors," IEEE Transactions on Industry Applications, vol. 37, no. 1, pp. 59-66, 2001.
[CrossRef] [Web of Science Times Cited 48] [SCOPUS Times Cited 67]


[26] F. Barnard, W. Villet, M. Kamper, "Hybrid active-flux and arbitrary injection position sensorless control of reluctance synchronous machines," IEEE Transactions on Industry Applications, vol.51, no.5, pp.3899-3906, 2015.
[CrossRef] [Web of Science Times Cited 45] [SCOPUS Times Cited 53]


[27] A. Khalil, S. Underwood, I. Husain, H. Klode, B. Lequesne, S. Gopalakrishnan, A. Omekanda, "Four-quadrant pulse injection and sliding-mode-observer-based sensorless operation of a switched reluctance machine over entire speed range including zero speed," IEEE Transactions on Industry Applications, vol. 43, no. 3, pp. 714-723, 2007.
[CrossRef] [Web of Science Times Cited 103] [SCOPUS Times Cited 132]


[28] F. Peng, J. Ye, A. Emadi, Y. Huang, "Position sensorless control of switched reluctance motor drives based on numerical method," IEEE Transactions on Industry Applications, vol. 53, no. 3, pp. 2159-2168, 2017.
[CrossRef] [Web of Science Times Cited 45] [SCOPUS Times Cited 59]


[29] J. Kim, R. Kim," Sensorless direct torque control using the inductance inflection point for a switched reluctance motor" IEEE Transactions on Industrial Electronics, vol. 65, no. 12, pp. 9336-9345, 2018.
[CrossRef] [Web of Science Times Cited 55] [SCOPUS Times Cited 62]


[30] A. Xu, J. Chen, P. Ren, J. Zhu," Position sensorless control of switched reluctance motor based on a linear inductance model with variable coefficients" IET Energy Systems Integration, vol. 1, no. 3, pp. 210-217, 2019.
[CrossRef] [Web of Science Times Cited 12] [SCOPUS Times Cited 15]


[31] S. Kuai, S. Zhao, F. Heng, X. Cui, "Position sensorless technology of switched reluctance motor drives including mutual inductance," IET Electrical Power Applications, vol. 11, no. 6, pp. 1085-1094, 2017.
[CrossRef] [Web of Science Times Cited 30] [SCOPUS Times Cited 33]


[32] J. Cai, Z. Liu, Y. Zeng, "Aligned position estimation based fault-tolerant sensorless control strategy for SRM drives," IEEE Transactions Power Electronics, vol. 34, no. 8, pp. 7754-7762, 2019.
[CrossRef] [Web of Science Times Cited 28] [SCOPUS Times Cited 34]


[33] H. Abdel-Maksoud, M. M. Khater, and S. M. Shaaban, "Adaptive fuzzy logic PI control for switched reluctance motor based inductance model," International Journal of Intelligent Engineering and Systems, vol. 10, no. 4, pp 41-49, 2017.
[CrossRef] [SCOPUS Times Cited 7]




References Weight

Web of Science® Citations for all references: 1,717 TCR
SCOPUS® Citations for all references: 2,256 TCR

Web of Science® Average Citations per reference: 51 ACR
SCOPUS® Average Citations per reference: 66 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 2024-06-15 23:35 in 216 seconds.




Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

Copyright ©2001-2024
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.

Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.




Website loading speed and performance optimization powered by: 


DNS Made Easy