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

Article type: Research Article

Authors: Hou, Shixi^{a; b; *} | Fei, Juntao^{a; b}

Affiliations: [a] College of IOT Engineering, Hohai University, Changzhou, China | [b] College of Energy and Electrical Engineering, Hohai University, Nanjing, China

Correspondence: [*] Corresponding author. Shixi Hou, College of IOT Engineering, Hohai University, Changzhou 213022, China. Tel.: +86 51985192023; Fax: +86 51985191838; E-mail: [email protected].

Abstract: 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.

Keywords: T-S fuzzy, active power filter, parameter estimation, Lyapunov stability analysis

DOI: 10.3233/JIFS-15997

Journal: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 3, pp. 1859-1868, 2016