T-S Fuzzy Control with Parameter Estimation for Three-Phase Active Power Filter
作者单位：College of IOT Engineering Hohai University
会议名称：《第30届中国控制与决策会议》
会议日期：2018年
学科分类：080802[工学-电力系统及其自动化] 0808[工学-电气工程] 08[工学]
基 金：supported by National Science Foundation of China under Grant No.61374100 Natural Science Foundation of Jiangsu Province under Grant No.BK20171198,BK20170303 the Fundamental Research Funds for the Central Universities under Grant No.2017B20014,2017B03014
关 键 词：Active power filter T-S fuzzy parameter estimation parallel distributed compensation
摘 要：In this paper, active power filter is modeled based on T-S fuzzy theory to reduce the computational burden of the traditional method, and the fuzzy controller is constructed according to the principle of parallel distributed compensation. In view of the fact that T-S model parameters is difficult to obtain and vulnerable to external disturbance and parameter perturbation, an adaptive fuzzy controller with parameter estimation(AFCPE) is designed to ensure parameter estimation error asymptotically converges to zero and improve the reliability of the system and the robustness to parameter variations. The parameters are derived from the Lyapunov stability analysis to guarantee tracking performance and stability of the closed-loop system. Simulation studies in the MATLAB/SimPower Systems Toolbox demonstrate that the proposed control methods offer a good behavior in both steady state and transient operation during balanced and unbalanced load.