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Adaptive Fuzzy-Neural Fractional-Order Current Control of Active Power Filter with Finite-Time Sliding Controller

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Abstract

In this research, an adaptive fuzzy-neural fractional-order current controller using a terminal sliding controller is developed to track ideal current of an active power filter (APF) with limited time control performance. First, an adaptive fractional-order finite-time controller using terminal sliding strategy is put forward to realize high precision and finite-time control properties with guaranteed stable sliding surface. Then a fuzzy-neural estimator is proposed to estimate the unknown APF system nonlinearities. Numerical analysis is provided to prove the validity of the proposed adaptive fuzzy-neural fractional-order terminal sliding controller to track the ideal current and suppress the harmonic distortion.

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Acknowledgements

The authors appreciate the anonymous reviewers for their comments to improve the paper quality. This work is partially supported by the National Science Foundation of China (Grant No. 61873085) and the Natural Science Foundation of Jiangsu Province (Grant No. BK2017 1198).

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Authors and Affiliations

  1. College of IoT Engineering, Hohai University, Changzhou, 213022, China

    Yunmei Fang, Juntao Fei & Di Cao

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  1. Yunmei Fang
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  2. Juntao Fei
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  3. Di Cao
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Correspondence to Juntao Fei.

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Fang, Y., Fei, J. & Cao, D. Adaptive Fuzzy-Neural Fractional-Order Current Control of Active Power Filter with Finite-Time Sliding Controller. Int. J. Fuzzy Syst. 21, 1533–1543 (2019). https://doi.org/10.1007/s40815-019-00648-4

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  • DOI: https://doi.org/10.1007/s40815-019-00648-4

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