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


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  1/2017 - 9

Adaptive and Robust Sliding Mode Position Control of IPMSM Drives

ZAKY, M. See more information about ZAKY, M. on SCOPUS See more information about ZAKY, M. on IEEExplore See more information about ZAKY, M. on Web of Science, SHABAN, S., FETOUH, T. See more information about FETOUH, T. on SCOPUS See more information about FETOUH, T. on SCOPUS See more information about FETOUH, T. on Web of Science
 
Click to see author's profile on 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 (1,363 KB) | Citation | Downloads: 181 | Views: 356

Author keywords
adaptive sliding mode control, interior permanent magnet synchronous motor, linear quadratic regulator, position control

References keywords
control(26), motor(19), position(14), drive(12), sliding(10), adaptive(10), power(9), mode(9), induction(9), drives(9)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2017-02-28
Volume 17, Issue 1, Year 2017, On page(s): 61 - 68
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2017.01009
Web of Science Accession Number: 000396335900009
SCOPUS ID: 85014258422

Abstract
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This paper proposes an adaptive and robust sliding mode control (SMC) for the position control of Interior Permanent Magnet Synchronous Motor (IPMSM) drives. A switching surface of SMC is designed using a Linear Quadratic Regulator (LQR) technique to simultaneously control the tracking trajectory and load torque changes. The quadratic optimal control method is used to select the state feedback control gain that constitutes the system dynamic performance under uncertainties and disturbances. Feedback and switching gains are selected to satisfy both stability and fast convergence of the IPMSM. Matlab/Simulink is used to build the drive system. Experimental implementation of the IPMSM drive is carried out using DSP-DS1102 control board. The efficacy of the proposed position control method is validated using theoretical analysis and simulation and experimental results.


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

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References Weight

Web of Science® Citations for all references: 843 TCR
SCOPUS® Citations for all references: 1,166 TCR

Web of Science® Average Citations per reference: 27 ACR
SCOPUS® Average Citations per reference: 38 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 2017-09-23 20:04 in 197 seconds.




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