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


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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: 839 | Views: 2,753

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  «-- Click to see who has cited this paper

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[CrossRef] [Web of Science Times Cited 137] [SCOPUS Times Cited 189]


[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 136] [SCOPUS Times Cited 179]


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[CrossRef] [Web of Science Times Cited 15] [SCOPUS Times Cited 18]


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[CrossRef] [Web of Science Times Cited 58] [SCOPUS Times Cited 78]


[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.
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[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 35] [SCOPUS Times Cited 49]


[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 97] [SCOPUS Times Cited 120]


[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 69] [SCOPUS Times Cited 82]


[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 67] [SCOPUS Times Cited 95]


[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 96] [SCOPUS Times Cited 121]


[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 55] [SCOPUS Times Cited 72]


[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 118] [SCOPUS Times Cited 165]


[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 51] [SCOPUS Times Cited 61]


[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]


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[CrossRef] [Web of Science Times Cited 49] [SCOPUS Times Cited 70]


[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 54]


[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 106] [SCOPUS Times Cited 136]


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[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.
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[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.
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[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.
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[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: 1,769 TCR
SCOPUS® Citations for all references: 2,323 TCR

Web of Science® Average Citations per reference: 52 ACR
SCOPUS® Average Citations per reference: 68 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 2024-11-27 17:15 in 227 seconds.




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