电力建设2026，Vol.47Issue(5)：65-79,15.DOI:10.12204/j.issn.1000-7229.2026.05.006
基于海马体模糊神经网络的有源电力滤波器快速积分终端滑模控制
Fast Integral Terminal Sliding Mode Control of Active Power Filter Based on Hippocampus-Based Fuzzy Neural Network
摘要
Abstract
[Objective]To address the current tracking challenges in the harmonic suppression of active power filters(APF),a fast integral terminal sliding mode control(FITSMC)strategy based on a hippocampus-based fuzzy neural network(HBFNN)is proposed.[Methods]The FITSMC is employed to guarantee global robustness and finite-time convergence of the tracking error.To circumvent the dependence on accurate system parameters,the HBFNN is constructed to approximate unknown system dynamics online.By integrating the hippocampus mechanism with fuzzy theory,the HBFNN eliminates redundancy through feature selection and enhances anti-interference performance against time-varying signals via a double recurrent structure.[Results]Simulation and hardware experiments verify that the proposed HBFNN-FITSMC scheme tracks harmonic currents rapidly and accurately.In simulations,the total harmonic distortion(THD)of the grid-side current decreases from 40.30%to 1.25%,while in hardware experiments,it decreases from 32.73%to 2.96%.Compared with traditional methods,the proposed strategy significantly improves dynamic response and steady-state accuracy,while effectively suppressing system chattering.[Conclusion]By virtue of its information screening and double recurrent mechanism,the HBFNN demonstrates superior approximation and anti-interference capabilities,reducing reliance on precise mathematical models.This scheme achieves the complementary advantages of brain-inspired intelligence and sliding mode control,offering significant value for engineering applications.关键词
有源电力滤波器(APF)/终端滑模控制/快速积分终端滑模控制(FITSMC)/海马体模糊神经网络(HBFNN)Key words
active power filter(APF)/terminal sliding mode control/fast integral terminal sliding mode control(FITSMC)/hippocampus-based fuzzy neural network(HBFNN)分类
信息技术与安全科学引用本文复制引用
侯世玺,徐子茹,罗序军,储云迪,徐挺,史朋飞..基于海马体模糊神经网络的有源电力滤波器快速积分终端滑模控制[J].电力建设,2026,47(5):65-79,15.基金项目
This work is supported by National Natural Science Foundation of China(No.62476080),Natural Science Foundation of Jiangsu Province(No.BK20241779)and the Major Science and Technology Project of Yunnan Province(No.202402AF080006).国家自然科学基金项目(62476080) （No.62476080）
江苏省自然科学基金项目(BK20241779) （BK20241779）
云南省重大科技专项计划项目(202402AF080006) （202402AF080006）
