Design of Adaptive Fuzzy Sliding-Mode Control for High-Performance Islanded Inverter in Micro-Grid

Abstract

In this paper, an adaptive fuzzy sliding-mode control (AFSMC) system is investigated for an islanded inverter to achieve a high-performance power supply. A sliding mode control (SMC) law is designed initially to obtain both the voltage tracking error and the current tracking error of the inverter involved, to realize both the output-voltage regulation and the current protection with global stability. Moreover, to deal with uncertainties in the practical inverter system without the chattering phenomenon, an adaptive fuzzy system embedded with a self-adjustive translation width is developed to replace the switch term of the SMC. In addition, the adaptation laws, derived from the Lyapunov stability theorem, adjust the AFSMC parameters online to guarantee optimal and robust performance. Furthermore, the superior control performance of the proposed AFSMC is verified by a numerical simulation in MATLAB, producing experimental results on the prototype in comparison with the conventional SMC.

Enhancing Underwater Robot Manipulators with a Hybrid Sliding Mode Controller and Neural-Fuzzy Algorithm

“…Results demonstrate superior performance of the SMC system in amplitude and settling time, with fuzzy logic control achieving the best tracking accuracy, and the neural-network control showing equivalent performance. This research demonstrates the application of neural network-based terminal sliding mode control to space robots actuated by control moment gyros, a novel approach to coordinating largescale systems with a focus on interaction prediction principles, the utilization of a fuzzy sliding mode controller based on RBF neural network for the control of a three-link robot, the design of adaptive fuzzy sliding-mode control for high-performance islanded inverters in micro-grids, and a comprehensive examination of variable structure control applied to complex systems [17][18][19][20][21].…”

Adaptive optimal sliding mode control for three-phase voltage source inverter: Reinforcement learning approach

“…In the past, many conventional and advanced control strategies were presented for voltage source to improve the quality of the output voltage as the system works in islanded mode, such as sliding mode controllers (Hajihosseini et al, 2022; Mostafa et al, 2022; Rosini et al, 2022; Yuan et al, 2022), adaptive controllers (Elnady et al, 2022; Ghamari et al, 2020; Jiong et al, 2022) and fuzzy logic controllers (Ayyakrishnan, 2022; Dong et al, 2023; Yang et al, 2022). These controllers effectively solved the problems of the islanded voltage source, including fast response, low steady-state error (SSE), low total harmonic distortion (THD) under the change of loads, the uncertainties of the system and the effect of external disturbances.…”