Control method based on DRFNN sliding mode for multifunctional flexible multistate switch

作     者：Jianghua Liao Wei Gao Yan Yang Gengjie Yang Jianghua Liao;Wei Gao;Yan Yang;Gengjie Yang

作者机构：College of Electrical Engineering and AutomationFuzhou UniversityFuzhou 350108P.R.China Faculty of Automation Huaiyin Institute of TechnologyHuai’an 223003P.R.China 

出 版 物：《Global Energy Interconnection》 (全球能源互联网（英文版）)

年 卷 期：2024年第7卷第2期

页      面：190-205页

核心收录：

学科分类：080804[工学-电力电子与电力传动] 0808[工学-电气工程] 08[工学] 

基　　金：the Natural Science Foundation of Fujian China(No.2021J01633) 

主　　题：Distribution networks Flexible multistate switch Grounding fault arc suppression Double-loop recursive fuzzy neural network Quasi-continuous second-order sliding mode 

摘      要：To address the low accuracy and stability when applying classical control theory in distribution networks with distributed generation,a control method involving flexible multistate switches(FMSs)is proposed in this *** approach is based on an improved double-loop recursive fuzzy neural network(DRFNN)sliding mode,which is intended to stably achieve multiterminal power interaction and adaptive arc suppression for single-phase ground ***,an improved DRFNN sliding mode control(SMC)method is proposed to overcome the chattering and transient overshoot inherent in the classical SMC and reduce the reliance on a precise mathematical model of the control *** improve the robustness of the system,an adaptive parameter-adjustment strategy for the DRFNN is designed,where its dynamic mapping capabilities are leveraged to improve the transient compensation ***,a quasi-continuous second-order sliding mode controller with a calculus-driven sliding mode surface is developed to improve the current monitoring accuracy and enhance the system *** stability of the proposed method and the convergence of the network parameters are verified using the Lyapunov theorem.A simulation model of the three-port FMS with its control system is constructed in MATLAB/*** simulation result confirms the feasibility and effectiveness of the proposed control strategy based on a comparative analysis.