模糊逻辑与反滤波控制器谐波抑制的比较分析

Luciana. M Lincy, K. Senthil
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引用次数: 2

摘要

近年来,电能质量问题在电力系统中引起了越来越多的关注。供电系统中最大的问题是谐波。它是由非线性负载引起的,可以通过有源滤波器进行整流。实现了许多软计算技术来访问非线性模型。本文采用人工神经模糊推理系统(ANFIS)控制器来消除供电系统中的不确定性。采用空间矢量脉宽调制(SVPWM)控制方案产生用于负载补偿的必要脉冲。比较了ANFIS和模糊逻辑控制器(FLC)的控制结果,并在MATLAB Simulink和模糊逻辑工具箱中进行了仿真,以验证所提出的ANFIS控制策略的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison Analysis of Fuzzy Logic and Anfis Controller for Mitigation of Harmonics
Now-a-days the problems occur due to power quality issues causes more impression in power system. The maximum issue in the supply system is harmonics. It occurs due to Non Linear Load (NLL) and it could be rectified by Active Filter. Many soft computing techniques are implemented to access the nonlinear model. In this paper, the proposed Artificial Neural Fuzzy Inference System (ANFIS) controller is used to eliminate the uncertainty in the supply system. The Space Vector Pulse Width Modulation (SVPWM) control scheme is used to generate the necessary pulses used for load compensation. The results are compared for both ANFIS and fuzzy logic controller (FLC) and simulation is designed in MATLAB Simulink and fuzzy logic toolbox to sustenance the feasibility of proposed ANFIS control strategies.
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