Takagi-Sugeno-Kang type probabilistic fuzzy neural network control for grid-connected LiFePO4 battery storage system

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Title:	Takagi-Sugeno-Kang type probabilistic fuzzy neural network control for grid-connected LiFePO4 battery storage system
Authors:	林法正;Lin, Faa‐Jeng;Huang, Ming‐Shi;Hung, Ying‐Chih;Kuan, Chi‐Hsuan;Wang, Sheng‐Long;Lee, Yih‐Der
Contributors:	資訊電機學院電機工程學系
Date:	2013-08-20
Issue Date:	2026-04-23 14:45:58 (UTC+8)
Publisher:	Institution of Engineering and Technology
Abstract:	摘要： A Takagi–Sugeno–Kang type probabilistic fuzzy neural network (TSKPFNN) control is proposed to control a grid‐connected LiFePO 4 battery storage system in this study. First, the modelling of the battery and bidirectional AC–DC converter are described in detail. Then, the active and reactive power controls using phase‐lock loop are briefly introduced. Moreover, to improve the control performance of the grid‐connected LiFePO 4 battery storage system, the TSKPFNN control, which combines the advantages of Takagi–Sugeno–Kang type fuzzy logic system and three‐dimensional membership function, is developed. The network structure, online learning algorithm using delta adaptation law and convergence analysis of the TSKPFNN are described in detail. Furthermore, a 32‐bit fixed‐point digital signal processor, TMS320F28035, is adopted for the implementation of the proposed intelligent controlled battery storage system. Finally, some experimental results are illustrated to show the validity of the proposed TSKPFNN control for the grid‐connected LiFePO 4 battery storage system. 出版日期： 2013-07 出處： IET power electronics, 2013-07, Vol.6 (6), p.1029-1040 資源來源： Wiley Online Library Open Access 識別號： ISSN: 1755-4535 識別號： ISSN: 1755-4543 識別號： EISSN: 1755-4543 識別號： DOI: 10.1049/iet-pel.2012.0327
Appears in Collections:	[Department of Electrical Engineering] journal & Dissertation

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