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PID Neural Network Based Speed Control of Asynchronous Motor using Programmable Logic ControllerMARABA, V. A.   , KUZUCUOGLU, A. E. |
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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
Abstract
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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[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.
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[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.
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[3] Achievement of Automatic Copper Wire Elongation System, Lin, Hsiung-Cheng, Cheng, Chung-Hao, Algorithms, ISSN 1999-4893, Issue 5, Volume 12, 2019.
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[4] A PID Parameter Tuning Method Based on the Improved QUATRE Algorithm, Zhao, Zhuo-Qiang, Liu, Shi-Jian, Pan, Jeng-Shyang, Algorithms, ISSN 1999-4893, Issue 6, Volume 14, 2021.
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[5] 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.
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[6] Adaptive neural network PID controller for nonlinear systems, Bouzaiene, Ramzi, Hafsi, Sami, Bouani, Faouzi, 2021 IEEE 2nd International Conference on Signal, Control and Communication (SCC), ISBN 978-1-6654-0270-5, 2021.
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[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.
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[8] ADRC Based on Artificial Neural Network for a Six-rotor UAV, Xi, Lin, Shao, Yunfeng, Zou, Suli, Ma, Zhongjing, 2021 40th Chinese Control Conference (CCC), ISBN 978-9-8815-6380-4, 2021.
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[10] 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.
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[11] Improving PID Control Based on Neural Network, Li, Jun, Gomez-Espinosa, Alfonso, 2018 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE), ISBN 978-1-5386-9190-8, 2018.
Digital Object Identifier: 10.1109/ICMEAE.2018.00042 [CrossRef]
[12] Design of Fishhook Wiring Mechanical System based on Automatic Control Process, Wu, Chih-Yang, Lin, Hsiung-Cheng, 2019 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), ISBN 978-1-7281-1651-8, 2019.
Digital Object Identifier: 10.1109/SNPD.2019.8935695 [CrossRef]
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Stefan cel Mare University of Suceava, Romania
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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.
