Takagi-Sugeno Fuzzy Control and Lyapunov-Based Stability Control of the Single-Phase Shunt Active Power Filter

Abstract:

In allusion to the difficulty of achieving accurate mathematical model of active power filter (APF), the Takagi-Sugeno (TS) fuzzy control is led into DC voltage control of APF. To solve the problem of control system stability, the control approach based on Lyapunov stability theory is applied to the current control. Both methods can ensure the control accuracy and stability. By means of adaptive fuzzy neural system in Matlab/Simulink the parameters of TS fuzzy controller are optimized and experiments are performed. Results show that under the time-varying load and variation of power system parameters both robustness and control accuracy of the control system can be ensured by the proposed control method.

• Periodical: Applied Mechanics and Materials (Volumes 433-435)
• Pages: 1206-1209
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.433-435.1206
• Online since: October 2013
• Authors: Lan Fang Li, Wei Ming Guo, Bai Yu Xu, Ming Ma
• Keywords: Active Power Filter (APF), Adaptive Neuro-Fuzzy Inference System (ANFIS), Lyapunov Function, Stability Control, Takagi-Sugeno Fuzzy Control

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