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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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  2/2010 - 27
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 HIGHLY CITED PAPER 

A modified Adaptive Wavelet PID Control Based on Reinforcement Learning for Wind Energy Conversion System Control

SEDIGHIZADEH, M. See more information about SEDIGHIZADEH, M. on SCOPUS See more information about SEDIGHIZADEH, M. on IEEExplore See more information about SEDIGHIZADEH, M. on Web of Science, REZAZADEH, A. See more information about REZAZADEH, A. on SCOPUS See more information about REZAZADEH, A. on SCOPUS See more information about REZAZADEH, A. 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 (1,587 KB) | Citation | Downloads: 1,921 | Views: 4,898

Author keywords
control, reinforcement, neural network, wavelet, wind energy

References keywords
control(14), wind(10), adaptive(8), neural(7), networks(7), sedighizadeh(6), turbine(5), systems(5), energy(5), conversion(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2010-05-31
Volume 10, Issue 2, Year 2010, On page(s): 153 - 159
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2010.02027
Web of Science Accession Number: 000280312600027
SCOPUS ID: 77954629341

Abstract
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Nonlinear characteristics of wind turbines and electric generators necessitate complicated and nonlinear control of grid connected Wind Energy Conversion Systems (WECS). This paper proposes a modified self-tuning PID control strategy, using reinforcement learning for WECS control. The controller employs Actor-Critic learning in order to tune PID parameters adaptively. These Actor-Critic learning is a special kind of reinforcement learning that uses a single wavelet neural network to approximate the policy function of the Actor and the value function of the Critic simultaneously. These controllers are used to control a typical WECS in noiseless and noisy condition and results are compared with an adaptive Radial Basis Function (RBF) PID control based on reinforcement learning and conventional PID control. Practical emulated results prove the capability and the robustness of the suggested controller versus the other PID controllers to control of the WECS. The ability of presented controller is tested by experimental setup.


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Cited-By Clarivate Web of Science

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Cited-By SCOPUS

SCOPUS® Times Cited: 8
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Cited-By CrossRef

[1] PID Neural Network Based Speed Control of Asynchronous Motor using Programmable Logic Controller, MARABA, V. A., KUZUCUOGLU, A. E., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 11, 2011.
Digital Object Identifier: 10.4316/AECE.2011.04004
[CrossRef] [Full text]

[2] Adaptive T–S fuzzy controller using reinforcement learning based on Lyapunov stability, Khater, A. Aziz, El-Nagar, Ahmad M., El-Bardini, Mohammad, El-Rabaie, Nabila M., Journal of the Franklin Institute, ISSN 0016-0032, Issue 14, Volume 355, 2018.
Digital Object Identifier: 10.1016/j.jfranklin.2018.06.031
[CrossRef]

[3] A Novel Structure of Actor-Critic Learning Based on an Interval Type-2 TSK Fuzzy Neural Network, Khater, A. Aziz, El-Nagar, Ahmad M., El-Bardini, Mohammad, El-Rabaie, Nabila, IEEE Transactions on Fuzzy Systems, ISSN 1063-6706, Issue 11, Volume 28, 2020.
Digital Object Identifier: 10.1109/TFUZZ.2019.2949554
[CrossRef]

[4] Pitch Based Wind Turbine Intelligent Speed Setpoint Adjustment Algorithms, González-González, Asier, Etxeberria-Agiriano, Ismael, Zulueta, Ekaitz, Oterino-Echavarri, Fernando, Lopez-Guede, Jose, Energies, ISSN 1996-1073, Issue 6, Volume 7, 2014.
Digital Object Identifier: 10.3390/en7063793
[CrossRef]

[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.
Digital Object Identifier: 10.4316/AECE.2012.04005
[CrossRef] [Full text]

[6] Improving the performance of a class of adaptive fuzzy controller based on stable and fast on-line learning algorithm, Khater, Abdel Aziz, El-Nagar, Ahmad M., El-Bardini, Mohammad, El-Rabaie, Nabila M., European Journal of Control, ISSN 0947-3580, Issue , 2020.
Digital Object Identifier: 10.1016/j.ejcon.2019.07.001
[CrossRef]

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