The Current Waveform Correction Algorithm for Voltage Source Inverter Based on Adaptive Inverse Control

Hui Li, Zhengguo Wu, Yanfeng Wu
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引用次数: 2

Abstract

The paper adopts "adaptive inverse control (AIC)" algorithm to correct the output current waveform of the voltage source inverter in the active power filter (APF). Generally the goal of the control theory is to make a given dynamical system behave in a user-specified manner as accurately as possible. This objective may be broken down into two separate tasks: control of plant dynamics and control of plant disturbance. Conventionally, one uses feedback to treat both two problems simultaneously. Compromises are necessary to achieve good solutions. "Adaptive inverse control" presents such a new concept to treat the two control tasks separately without compromise. All of the required operations are based on adaptive filtering techniques. In this paper adaptive inverse control is used to correct the output current waveform of the voltage source inverter, and filtered-x LMS adaptive inverse control algorithm is used to identify the parameters and design the controllers. It demonstrates that the adaptive inverse control system can adapt to the variance of the electric network and would be more predominant than the conventional control strategies.
基于自适应逆控制的电压源逆变器电流波形校正算法
本文采用“自适应逆控制(AIC)”算法对有源电力滤波器(APF)中电压源逆变器的输出电流波形进行校正。一般来说,控制理论的目标是使给定的动力系统尽可能准确地按照用户指定的方式运行。这一目标可分为两个独立的任务:控制植物动力学和控制植物扰动。传统上,人们使用反馈来同时处理这两个问题。要达成好的解决方案,妥协是必要的。“自适应逆控制”提出了这样一个新的概念,将两个控制任务分开处理而不妥协。所有必需的操作都基于自适应滤波技术。本文采用自适应逆控制对电压源逆变器的输出电流波形进行校正,并采用滤波-x LMS自适应逆控制算法进行参数辨识和控制器设计。结果表明,自适应逆控制系统能够适应电网的变化,比传统的控制策略更具优势。
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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