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Type-2 Fuzzy Adaptive Output Feedback Saturation Control for Photovoltaic Grid-connected Power Systems

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  • Control Theory and Applications
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Abstract

The adaptive interval type-2 (IT2) fuzzy output feedback control problem is studied for a single-phase photovoltaic grid-connected power system. The equivalent resistors of the inductors in the system are unknown and the part states are not available. Interval type-2 fuzzy logic systems (IT2FLSs) are utilized to approximate the uncertain nonlinear dynamics, and an IT2 fuzzy state observer is designed to estimate the unavailable states. By introducing a command filter method and using a backstepping control design technique, an IT2 fuzzy output feedback control scheme is investigated, in which the constraint conditions of pulse width modulation are ensured via mean-value theorem. It is proved that all the variables of the closed-loop photovoltaic system are uniformly ultimately bounded. The simulation and comparison results demonstrate the validity of the proposed control scheme.

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Authors and Affiliations

  1. College of Electrical Engineering, Liaoning University of Technology, Jinzhou, Liaoning, 121001, China

    Tiechao Wang & Xuhang Zhang

  2. Shandong Key Laboratory of Intelligent Buildings Technology, Jinan, Shandong, 250101, China

    Tiechao Wang

  3. Department of Basic Mathematics, Liaoning University of Technology, Jinzhou, Liaoning, 121001, China

    Yongming Li

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  1. Tiechao Wang
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  2. Xuhang Zhang
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Correspondence to Yongming Li.

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This work is supported by Shandong Key Laboratory of Intelligent Buildings Technology under Grant No. 2019019 and National Natural Science Foundation of China under Grant No. 61822307.

Tiechao Wang received his B.E. degree and M.E. degree in control theory and engineering from Liaoning Institute of Technology, Liaoning, China, in 1996 and in 2005, respectively, and a Ph.D. degree in control theory and engineering from Institute of Automation, Chinese Academy of Sciences, Beijing, China, in 2012. Currently, he is a Professor of the College of Electrical Engineering, Liaoning Institute of Technology, Liaoning, PR China. His research interests include fuzzy control, and neural network control for nonlinear systems.

Xuhang Zhang received his B.S. degree in electrical engineering and automation from Tangshan College, Tangshan, China in 2018, and is pursuing an M.S. degree in power system and automation from Liaoning University of Technology, Jinzhou, China. His research interests include power systems and adaptive control.

Yongming Li received his B.S. and M.S. degrees in applied mathematics from Liaoning University of Technology, Jinzhou, China, in 2004 and 2007, respectively. He received a Ph.D. degree in transportation information engineering & control from Dalian Maritime University, Dalian, China, in 2014. He is currently a Professor with the College of Science, Liaoning University of Technology. His current research interests include adaptive control, fuzzy control, and neural network control for nonlinear systems.

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Wang, T., Zhang, X. & Li, Y. Type-2 Fuzzy Adaptive Output Feedback Saturation Control for Photovoltaic Grid-connected Power Systems. Int. J. Control Autom. Syst. 19, 2759–2768 (2021). https://doi.org/10.1007/s12555-020-0629-9

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  • DOI: https://doi.org/10.1007/s12555-020-0629-9

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