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

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


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Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

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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.

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  4/2011 - 4

PID Neural Network Based Speed Control of Asynchronous Motor using Programmable Logic Controller

MARABA, V. A. See more information about MARABA, V. A. on SCOPUS See more information about MARABA, V. A. on IEEExplore See more information about MARABA, V. A. on Web of Science, KUZUCUOGLU, A. E. See more information about KUZUCUOGLU, A. E. on SCOPUS See more information about KUZUCUOGLU, A. E. on SCOPUS See more information about KUZUCUOGLU, A. E. on Web of Science
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 (431 KB) | Citation | Downloads: 2,048 | Views: 5,250

Author keywords
control, neural network, PID, PIDNN, PLC

References keywords
control(12), neural(6), system(5), networks(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2011-11-30
Volume 11, Issue 4, Year 2011, On page(s): 23 - 28
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.04004
Web of Science Accession Number: 000297764500004
SCOPUS ID: 84856594182

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This paper deals with the structure and characteristics of PID Neural Network controller for single input and single output systems. PID Neural Network is a new kind of controller that includes the advantages of artificial neural networks and classic PID controller. Functioning of this controller is based on the update of controller parameters according to the value extracted from system output pursuant to the rules of back propagation algorithm used in artificial neural networks. Parameters obtained from the application of PID Neural Network training algorithm on the speed model of the asynchronous motor exhibiting second order linear behavior were used in the real time speed control of the motor. Programmable logic controller (PLC) was used as real time controller. The real time control results show that reference speed successfully maintained under various load conditions.

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SCOPUS® Times Cited: 7
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[1] Decentralized PID neural network control for a quadrotor helicopter subjected to wind disturbance, Chen, Yan-min, He, Yong-ling, Zhou, Min-feng, Journal of Central South University, ISSN 2095-2899, Issue 1, Volume 22, 2015.
Digital Object Identifier: 10.1007/s11771-015-2507-9

[2] Self-Tuning Fully-Connected PID Neural Network System for Distributed Temperature Sensing and Control of Instrument with Multi-Modules, Zhang, Zhen, Ma, Cheng, Zhu, Rong, Sensors, ISSN 1424-8220, Issue 10, Volume 16, 2016.
Digital Object Identifier: 10.3390/s16101709

[3] Achievement of Automatic Copper Wire Elongation System, Lin, Hsiung-Cheng, Cheng, Chung-Hao, Algorithms, ISSN 1999-4893, Issue 5, Volume 12, 2019.
Digital Object Identifier: 10.3390/a12050105

[4] A Novel Method for Inverter Faults Detection and Diagnosis in PMSM Drives of HEVs based on Discrete Wavelet Transform, AKTAS, M., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 12, 2012.
Digital Object Identifier: 10.4316/AECE.2012.04005
[CrossRef] [Full text]

[5] A solution for study of positioning control of two axes, Rata, Mihai, Rata, Gabriela, 2016 International Conference and Exposition on Electrical and Power Engineering (EPE), ISBN 978-1-5090-6129-7, 2016.
Digital Object Identifier: 10.1109/ICEPE.2016.7781419

[6] A solution for the study and understanding of PID controllers, Rata, Mihai, Rata, Gabriela, Chatziathanasiou, Vasilis, 2014 International Conference and Exposition on Electrical and Power Engineering (EPE), ISBN 978-1-4799-5849-8, 2014.
Digital Object Identifier: 10.1109/ICEPE.2014.6969893

[7] A solution for study of PID controllers using cRIO system, Rata, Gabriela, Rata, Mihai, 2015 9th International Symposium on Advanced Topics in Electrical Engineering (ATEE), ISBN 978-1-4799-7514-3, 2015.
Digital Object Identifier: 10.1109/ATEE.2015.7133685

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania

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