Fuzzy grey sliding mode control for maximum power point tracking of photovoltaic systems

Guo-Wei Hong, K. Lum, Jung-Shan Lin
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引用次数: 4

Abstract

This paper proposes a fuzzy-grey sliding-mode control (FGSMC) strategy for maximum power point (MPP) tracking in photovoltaic (PV) systems. The problem to be addressed is that the linear reaching law in a previous SMC design has limited reaching speed if control saturation is to be avoided. Hence, a nonlinear reaching law is proposed by means of fuzzy-logic control which employs as inputs the sliding function, and its predicted forward difference provided by a grey-prediction algorithm. Control design is performed on an averaged system model, whereas the performances of FGSMC and SMC are compared in simulation on both the averaged model and the true switching PV system.
光伏系统最大功率点跟踪的模糊灰色滑模控制
针对光伏系统的最大功率点跟踪问题,提出了一种模糊灰色滑模控制策略。要解决的问题是,如果要避免控制饱和,以前的SMC设计中的线性趋近律具有有限的趋近速度。在此基础上,提出了一种以滑动函数为输入,用灰色预测算法预测前向差分的模糊逻辑控制的非线性趋近律。在平均系统模型上进行了控制设计,并在平均模型和真实切换PV系统上进行了仿真,比较了FGSMC和SMC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。
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