Intelligent Global Fast Terminal Sliding Mode Control of Active Power Filter
نویسندگان
چکیده
Faced with serious harmonic pollution, a global fast terminal sliding mode control (GFTSMC) based on novel recurrent fuzzy neural network (NRFNN) strategy for an active power filter (APF) uncertainty is proposed in this article, which aimed at improving the quality and realizing suppression. First, GFTSMC adopted due to its advantages finite-time convergence faster rate of tracking error system. Second, NRFNN approximate unknown model lump APF Because values base width, center vector feedback gain can be adjusted adaptively according adaptive laws, accurate approximation achieved, robustness accuracy system guaranteed. Finally, validity feasibility GFTSMC-NRFNN scheme fully verified by simulation results, showing it has better steady-state dynamic performance than other existing methods.
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ژورنال
عنوان ژورنال: Mathematics
سال: 2023
ISSN: ['2227-7390']
DOI: https://doi.org/10.3390/math11040919