Adaptive Fuzzy Control with Supervisory Compensator for Three‐Phase Active Power Filter

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Abstract
An adaptive fuzzy control system with supervisory controller is proposed to improve dynamic performance of three‐phase active power filter (APF). The proposed adaptive fuzzy controller for APF does not build an accurate mathematical model but approximates the nonlinear characteristics of APF using fuzzy approximation. The adaptive law based on the Lyapunov analysis can adaptively adjust the fuzzy rules; therefore the asymptotical stability of the adaptive fuzzy control system can be guaranteed. Simulation results demonstrate that the APF control system has excellent dynamic performance such as small current tracking error, reduced total harmonic distortion (THD) index, strong robustness in the presence of parameters variation, and nonlinear load.
Funding Information
  • National Natural Science Foundation of China (61074056, CGB014-05, 2012B06714)
  • Hohai University (61074056, CGB014-05, 2012B06714)
  • High-Level Innovation and Entrepreneurship Plan of Jiangsu Province (61074056, CGB014-05, 2012B06714)
  • Fundamental Research Funds for the Central Universities (61074056, CGB014-05, 2012B06714)

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