T-S fuzzy model based adaptive fuzzy current tracking control of three-phase active power filter

被引:3
作者
Hou, Shixi [1 ,2 ]
Fei, Juntao [1 ,2 ]
机构
[1] Hohai Univ, Coll IOT Engn, Changzhou 213022, Peoples R China
[2] Hohai Univ, Coll Energy & Elect Engn, Nanjing, Jiangsu, Peoples R China
基金
美国国家科学基金会;
关键词
T-S fuzzy; active power filter; parameter estimation; Lyapunov stability analysis; DESIGN; SYSTEMS;
D O I
10.3233/JIFS-15997
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper proposed an adaptive fuzzy state feedback controller for a three-phase active power filter (APF) based on a Takagi-Sugeno (T-S) fuzzy model. The T-S fuzzy model is based on the APF dynamic model in the dq frame, which ensures that the current control dynamic and DC capacitor voltage dynamic become decoupled. By using the parallel distributed compensation (PDC), local linear state feedback controller could be designed for each T-S fuzzy sub-model. To deal with the parametric uncertainties and external disturbances, a parameter estimation scheme for tuning the parameters of T-S fuzzy model is designed and the parameters are adjusted online by the adaptive law derived from the Lyapunov stability analysis. Simulation studies demonstrate that the proposed control method exhibit excellent performance in both steady state and transient operation during balanced and unbalanced load, and source voltage.
引用
收藏
页码:1859 / 1868
页数:10
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