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JCR Impact Factor: 0.595
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Issues per year: 4
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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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FEATURED ARTICLE

Wind Speed Prediction with Wavelet Time Series Based on Lorenz Disturbance, ZHANG, Y., WANG, P., CHENG, P., LEI, S.
Issue 3/2017

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LATEST NEWS

2017-Jun-14
Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

2017-Apr-04
We have the confirmation Advances in Electrical and Computer Engineering will be included in the EBSCO database.

2017-Feb-16
With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

2017-Jan-30
We have the confirmation Advances in Electrical and Computer Engineering will be included in the Gale database.

2016-Dec-17
IoT is a new emerging technology domain which will be used to connect all objects through the Internet for remote sensing and control. IoT uses a combination of WSN (Wireless Sensor Network), M2M (Machine to Machine), robotics, wireless networking, Internet technologies, and Smart Devices. We dedicate a special section of Issue 2/2017 to IoT. Prospective authors are asked to make the submissions for this section no later than the 31st of March 2017, placing "IoT - " before the paper title in OpenConf.

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  3/2011 - 11

Wind Generators Test Bench. Optimal Design of PI Controller

TUDORACHE, T. See more information about TUDORACHE, T. on SCOPUS See more information about TUDORACHE, T. on IEEExplore See more information about TUDORACHE, T. on Web of Science, BOSTAN, V. See more information about BOSTAN, V. on SCOPUS See more information about BOSTAN, V. on SCOPUS See more information about BOSTAN, V. 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 (1,989 KB) | Citation | Downloads: 1,174 | Views: 2,904

Author keywords
numerical simulation, optimization, test bench of wind generators

References keywords
control(6), simplex(5), algorithm(5), systems(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2011-08-31
Volume 11, Issue 3, Year 2011, On page(s): 65 - 70
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.03011
Web of Science Accession Number: 000296186700011
SCOPUS ID: 80055086039

Abstract
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Full text preview
This paper proposes a novel and robust strategy for the optimal design of the drive system integrated in a wind generators test bench. The PI regulator coefficients used in control systems are usually computed based on simplified hypotheses and then tuned manually so as the system response meet certain specifications in terms of stability, accuracy and speed. The proposed methodology permits the automatic identification of PI regulator coefficients using intelligent optimization algorithms, the initial guess for the search procedure being determined based on particular simplified hypotheses. The proposed procedure can help the design engineers to drastically reduce the effort for finding the best PI regulator coefficients offering a range of feasible solutions depending on the imposed optimum criteria. The characteristics and performances of the optimization strategy are highlighted by using it for the design of a DC motor drive system used to simulate the wind prime mover integrated in a wind generators test bench.


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

[1] WWEA: World Wind Energy Report 2009, [Online] Available: Temporary on-line reference link removed - see the PDF document

[2] D. Bang, H. Polinder, G. Shrestha, J.A. Ferreira, "Review of Generator Systems for Direct-Drive Wind Turbines", EWEC 2008, Belgium. [Local Repository]

[3] I. A. Viorel, L. Strete, K. Hameyer, "Construction and Design of a Modular Permanent Magnet Transverse Flux Generator", Advances in Electrical and Computer Engineering Journal, Vol. 10, No. 1, pp. 3-6, 2010.
[CrossRef] [Full Text] [Web of Science Times Cited 3] [SCOPUS Times Cited 6]


[4] J. Hindmarsh, A. Renfrew, "Electrical Machines and Drives Systems", Butterworth-Heinemann Press, 1997.

[5] A. Visioli, "Practical PID Control - Advances in Industrial Control", Springer-Verlag, 2006.

[6] W. Levine, "The Control Handbook", CRC Press, 1997.

[7] The Mathworks Inc., "Writing S - Functions", Matlab/Simulink Documentation.

[8] J. A. Nelder, R. Mead, "A Simplex Method for Function Minimization", The Computer Journal, Vol. 7, No. 4, pp. 308-313, 1965.

[9] L. Zhongwei, L. Saojun, D. Yi, Z. Yucai, H. Minghui, D. Yingjian, "Optimization of the Hydraulic Synchronous Control Parameters Based on Simplex Method", Proc. of Control Conference 2007, pp. 527-530, China.
[CrossRef] [SCOPUS Times Cited 1]


[10] B. Oh, Y. Na, J. Yang, S. Park, J. Nang, J. Kim, "Genetic Algorithm-based Dynamic Vehicle Route Search using Car-to-Car Communication", Advances in Electrical and Computer Engineering Journal, Vol. 10, No. 4, pp. 81-86, 2010.
[CrossRef] [Full Text] [Web of Science Times Cited 4] [SCOPUS Times Cited 4]


[11] A. Rezazadeh "Genetic Algorithm based Servo System Parameter Estimation during Transients", Advances in Electrical and Computer Engineering Journal, Vol. 10, No. 2, pp. 77-81, 2010.
[CrossRef] [Full Text] [Web of Science Times Cited 4] [SCOPUS Times Cited 6]


[12] J. Chen, Z. Ren, X. Fan, "A Hybrid Optimized Algorithm Based on Improved Simplex Method and Particle Swarm Optimization", Proc. of Control Conference 2006, pp. 1448-1453, China.
[CrossRef] [SCOPUS Times Cited 6]


[13] A. Efstratiadis, D. Koutsoyiannis, "An Evolutionary Annealing-Simplex Algorithm for Global Optimisation of Water Resource Systems", Proc. of the 5th International Conference on Hydroinformatics, Cardiff, UK, 2002. [Local Repository]

References Weight

Web of Science® Citations for all references: 11 TCR
SCOPUS® Citations for all references: 23 TCR

Web of Science® Average Citations per reference: 1 ACR
SCOPUS® Average Citations per reference: 2 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 2017-09-16 20:09 in 35 seconds.




Note1: Web of Science® is a registered trademark of Thomson Reuters.
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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