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Type-2 Fuzzy Adaptive Event-Triggered Saturation Control for Photovoltaic Grid-Connected Power Systems

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Abstract

The adaptive interval type-2 (IT2) fuzzy event-triggered saturation control scheme is proposed for a photovoltaic power system with unknown equivalent resistances and the disturbance of the power grid voltage. As the equivalent resistors and the disturbance are uncertain, interval type-2 fuzzy logic systems (IT2FLSs) are used to handle the uncertain nonlinear dynamics. Based on backstepping control design and command filtered techniques, by considering the limited communication resources of the system, an event-triggered saturation controller is designed, and the constraint conditions of the control signal are guaranteed. According to the Lyapunov theory, it is ensured that all the variables of the closed-loop photovoltaic system are bounded. The simulation results demonstrate the effectiveness and superiority of the presented control method.

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Acknowledgements

This work was supported in part by the National Natural Science Foundation of China under Grant No. 61822307 and Shandong Key Laboratory of Intelligent Buildings Technology (Grant No. 2019019).

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Authors and Affiliations

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

    Tiechao Wang & Xuhang Zhang

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

    Tiechao Wang

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

    Yongming Li

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  1. Tiechao Wang
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Correspondence to Tiechao Wang.

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Wang, T., Zhang, X. & Li, Y. Type-2 Fuzzy Adaptive Event-Triggered Saturation Control for Photovoltaic Grid-Connected Power Systems. Int. J. Fuzzy Syst. 23, 1150–1162 (2021). https://doi.org/10.1007/s40815-021-01078-x

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