A fixed switching frequency adaptive sliding mode controller for shunt active power filter system

S. R. Mohapatra, P. K. Ray
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引用次数: 9

Abstract

The theory, design and simulation of a fixed frequency pulse width modulation (PWM) based adaptive sliding mode current control for single phase shunt active power filter (APF) to improve power quality is presented in this article. Artificial neural network (ANN) based modified control strategy is being used to control the DC capacitor voltage as well as to generate reference source current. The application of ANN enhances the convergence rate of APF and also makes it adaptive under variable load conditions. The instantaneous phase of the source voltage is extracted by a phase locked loop (PLL). The same phase is used by ANN for calculating the reference source current. That is why the proposed APF is applicable under both nominal and distorted voltage source. The complete non-linear system is analyzed and simulated using MATLAB/Simulink software. Simulation results are presented to validate the theory.
并联有源电力滤波系统的固定开关频率自适应滑模控制器
本文介绍了一种基于固定频率脉宽调制(PWM)的自适应滑模电流控制单相并联有源电力滤波器(APF)的原理、设计和仿真,以改善电能质量。基于人工神经网络(ANN)的改进控制策略被用于控制直流电容电压以及产生参考源电流。人工神经网络的应用提高了有源滤波器的收敛速度,并使其在变负荷条件下具有自适应能力。源电压的瞬时相位由锁相环(PLL)提取。人工神经网络使用相同的相位来计算参考源电流。这就是为什么所提出的有源滤波器适用于标称电压源和畸变电压源。利用MATLAB/Simulink软件对整个非线性系统进行了分析和仿真。仿真结果验证了理论的正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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