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Adaptive fuzzy sliding mode command-filtered backstepping control for islanded PV microgrid with energy storage system

Xu, Dezhi, Dai, Yuchen, Yang, Chengshun, Yan, Xinggang (2019) Adaptive fuzzy sliding mode command-filtered backstepping control for islanded PV microgrid with energy storage system. Journal of the Franklin Institute, 356 (4). pp. 1880-1898. ISSN 0016-0032. (doi:10.1016/j.jfranklin.2019.01.012) (KAR id:72475)

Abstract

This study focuses on the control of islanded photovoltaic (PV) microgrid and design of a controller for PV system. Because the system operates in islanded mode, the reference voltage and frequency of AC bus are provided by the energy storage system. We mainly designed the controller for PV system in this study, and the control objective is to control the DC bus voltage and output current of PV system. First, a mathematical model of the PV system was set up. In the design of PV system controller, command-filtered backstepping control method was used to construct the virtual controller, and the final controller was designed by using sliding mode control. Considering the uncertainty of circuit parameters in the mathematical model and the unmodeled part of PV system, we have integrated adaptive control in the

controller to achieve the on-line identification of component parameters of PV system. Moreover, fuzzy control was used to approximate the unmodeled part of the system. In addition, the projection operator guarantees the boundedness of adaptive estimation. Finally, the control effect of designed controller was verified by MATLAB/Simulink software. By comparing with the control results of proportion-integral (PI) and other controllers, the advanced design of controller was verified.

Item Type: Article
DOI/Identification number: 10.1016/j.jfranklin.2019.01.012
Uncontrolled keywords: Fuzzy control, command-?lter backstepping, parameter adaptive, sliding mode, photovoltaic (PV), islanded operation mode.
Subjects: T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Xinggang Yan
Date Deposited: 13 Feb 2019 16:14 UTC
Last Modified: 09 Dec 2022 07:00 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/72475 (The current URI for this page, for reference purposes)

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