Design of Adaptive Fuzzy-Neural-Network-Imitating Sliding-Mode Control for Parallel-Inverter System in Islanded Micro-Grid

作者: Yan Yang , Rong-Jong Wai

DOI: 10.1109/ACCESS.2021.3071832

关键词:

摘要: In this study, an adaptive fuzzy-neural-network-imitating sliding-mode control (AFNNISMC) is developed for a parallel-inverter system in islanded micro-grid (MG) via master-slave current sharing strategy. For ensuring the system-level stability, entire dynamic model constructed by viewing as whole. First, total (TSMC) scheme, and TSMC plus observer to form (ATSMC) framework are designed system. Then, four-layer fuzzy neural network (FNN) investigated imitate law improve robustness, overcome drawback of dependence on detailed dynamics, deal with chattering phenomena caused TSMC. According Lyapunov stability theorem projection algorithm, parameters FNN regulated online employing approximation error between ensure convergence Thereby, performance high power quality high-precision inverters can be guaranteed even if uncertainties exist. Moreover, proposed AFNNISMC achieve seamless disconnection re-connection slave from into energized system, which improves redundancy operation flexibility. addition, numerical simulations experimental results given demonstrate feasibility effectiveness scheme. Furthermore, comparisons ATSMC strategy conventional proportional-integral (PIC) provided verify superiority

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