基于“二超前”预测的电流控制器遗传算法设计

M. Odavic, P. Zanchetta, M. Sumner
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引用次数: 3

摘要

本文介绍了一种改进的预测控制方法,用于三相有源并联电源滤波器的电流控制。所提出的控制系统补偿了不可避免的数字控制器延迟,并提供了下一个采样周期的ASF行为的准确预测。提出了一种“两超前”电流参考预测方法,提前估计滤波器的两个样本电流。该预测器基于二阶外推方法,也可以解释参考波形的突然变化。在参考预测/外推公式中,采用遗传算法进行参数优化。除了良好的跟踪性能外,该控制器对测量噪声不敏感。通过实验验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Genetic Algorithm Design Method for A Current Controller Employing "Two Ahead" Prediction
This paper introduces an improved predictive control for the control of the current in a three-phase active shunt power filter (ASF). The proposed control system compensates for unavoidable digital controller delays, and provides an accurate prediction of the ASF behaviour in the next sampling period. A "two ahead" current reference prediction is proposed which estimates the filter current two samples in advance. The predictor is based on a second order extrapolation method, and can also account for sudden changes in the reference waveform. A genetic algorithm is used for parameter optimisation in the reference prediction/extrapolation formula. In addition to good tracking performance, the proposed controller is insensitive to measurement noise. The effectiveness of the proposed method is verified through experiment.
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