谐波补偿三相有源滤波器的改进自适应模糊控制

Shixi Hou, J. Fei, Yundi Chu
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引用次数: 1

摘要

提出了一种具有近似误差自适应能力的改进自适应模糊控制(MAFCAEAC),以改善三相有源电力滤波器(APF)的动态性能。首先,建立了具有参数摄动和未知外部干扰的有源电力滤波器的数学模型。然后在直接自适应模糊控制结构的基础上,设计了基于模糊逼近误差的补偿控制项,减轻了对模糊逼近误差平方可积假设的依赖;设计了模糊逼近误差的自适应估计,避免了以往补偿项带来的高增益和抖振问题。参数由李雅普诺夫稳定性分析导出,以保证闭环系统的跟踪性能和稳定性。在MATLAB/SimPower系统工具箱中的仿真研究表明,所提出的控制方法在平衡和不平衡负载的稳态和瞬态运行中都具有良好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A modified adaptive fuzzy control of three-phase active power filter for harmonic compensation
In this paper, a modified adaptive fuzzy control with approximation-error-adaptive capability (MAFCAEAC) is proposed to improve dynamic performance of three-phase active power filter (APF). Firstly, the mathematical model of active power filter with parameter perturbation and unknown external disturbance is established. Then based on the direct adaptive fuzzy control structure, the compensation control term based on the fuzzy approximation error is designed to relax the dependence on the assumption that the fuzzy approximation error is square integrable. The adaptive estimation of the fuzzy approximation error is designed to avoid the high gain and chattering problem caused by the previous compensation items. 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.
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