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

Yan Yang, Yeqin Wang (), Weixing Zhang, Zhenghao Li and Rui Liang
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Yan Yang: School of Automation, Huaiyin Institute of Technology, Huaian 223003, China
Yeqin Wang: School of Automation, Huaiyin Institute of Technology, Huaian 223003, China
Weixing Zhang: School of Automation, Huaiyin Institute of Technology, Huaian 223003, China
Zhenghao Li: School of Automation, Huaiyin Institute of Technology, Huaian 223003, China
Rui Liang: School of Automation, Huaiyin Institute of Technology, Huaian 223003, China

Energies, 2022, vol. 15, issue 23, 1-25

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.

Keywords: islanded inverter; robustness control; adaptive fuzzy sliding-mode control (AFSMC) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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