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Design Robust Self-tuning FPIDF Controller for AVR System

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  • Control Theory and Applications
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Abstract

This paper presents the fuzzy PID filter (FPIDF) controller for the automatic voltage regulator (AVR). This controller is used to maintain the generating unit output voltage within allowable limit, and improve the weakness of the conventional controller’s fast response under any sudden changes in operating conditions or any disturbance that affect the voltage stability. Firstly, the PID low pass filter (PIDF) controller initial values are calculated by using teaching-learning based optimization (TLBO) algorithms. After that, we construct the FPIDF for self-tuning the PIDF parameters in real-time to make the controller fast response. The dynamic performance characteristic of the terminal voltage is investigated and analyzed when the system subjected to the different step change in reference voltage from low to high. The performance of FPIDF is compared with PIDF, fuzzy PID (FPID), and classical PID controller. Also, the FPIDF controller performance is compared with other metaheuristics algorithms based on the controller in the latest literature. Moreover, the strengths, robustness, and effectiveness of the FPIDF controller are checked under uncertainties of AVR parameters. The maximum total deviation of the system performance is calculated in different ranges of the system parameter deviations. The results show a small maximum total deviation percentage when using the proposed controller. Finally, we can observe that the FPIDF controller has better dynamic performance than the other controllers, also has strong robustness and fast real-time response under any sudden changes in system operation.

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Authors and Affiliations

  1. School of Automation, Nanjing University of Science and Technology, Nanjing, 210094, Jiangsu, P. R. China

    Khaled Eltag & Baoyong Zhang

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  1. Khaled Eltag
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  2. Baoyong Zhang
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Correspondence to Khaled Eltag.

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Recommended by Associate Editor M. Chadli under the direction of Editor Young IL Lee.

Khaled Eltag received his B.Sc. degree in electrical and electronic engineering, Faculty of Engineering Sciences from Omdurman Islamic University (OIU), Khartoum, Sudan, in 2003, and an M.S. degree in electrical power engineering, Faculty of Engineering and Architecture from University of Khartoum, Khartoum, Sudan, in 2012. He is studying for his Ph.D. degree from 2016 in control science and engineering with the School of Automation, from Nanjing University of Science and Technology, P. R. China. He was a Lecturer at the Department of Electrical and Electronic Engineering from 2006 to 2016, Omdurman Islamic University (OIU), Khartoum, Sudan. His research interests include fuzzy system, non-linear system control, adaptive control, and electrical power system stability and control.

Baoyong Zhang received his B.Sc. and M.Sc. degrees from Qufu Normal University, Qufu, China, in 2003 and 2006, respectively, and a Ph.D. degree from the Nanjing University of Science and Technology (NJUST), Nanjing, China, in 2011. In 2008, he was a Research Associate with the Department of Mechanical Engineering, University of Hong Kong, Hong Kong, for three months. From 2008 to 2009, he was a Visiting Fellow with the School of Computing and Mathematics, University of Western Sydney, Penrith, NSW, Australia. From 2011 to 2012, he was a Post-Doctoral Fellow with the Department of Mechanical Engineering, University of Hong Kong. He joined the School of Automation, NJUST, as a Lecturer in 2010 and was selected as a Young Professor of NJUST in 2014. His current research interests include robust control and filtering, time-delay systems, stochastic systems, switched systems, nonlinear systems, LPV systems, and complex networks. Dr. Zhang is an Associate Editor of the Journal of the Franklin Institute, and a member of the IEEE CSS Conference Editorial Board.

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Eltag, K., Zhang, B. Design Robust Self-tuning FPIDF Controller for AVR System. Int. J. Control Autom. Syst. 19, 910–920 (2021). https://doi.org/10.1007/s12555-019-1071-8

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