基于直流电机的光伏泵送预测控制

2015 16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA) Pub Date : 2015-12-01 DOI:10.1109/STA.2015.7505088

S. Bououden, O. Hazil, I. Boulkaibet

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引用次数: 0

摘要

本文采用模型预测控制(MPC)方法对光伏泵系统进行控制。以光伏(PV)抽水系统为例，采用Takagi-Sugeno(T-S)模糊模型对被控系统的非线性进行建模。被控系统的Buck变换器与光伏(PV)发电机耦合成直流电机泵系统。这有助于提取和跟踪最大可用功率。在该系统中，直流-直流降压-升压变换器控制太阳能电池阵列的工作点，以跟踪最大功率点(MPP)。

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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Predictive control for a DC motor-based photovoltaic pumping

In this paper, a photovoltaic pumping system is controlled using a Model Predictive Control (MPC) approach. The non-linearity of controlled system, which is a photovoltaic (PV) water pumping system, was modelled using a Takagi-Sugeno(T-S) fuzzy model. The Buck converter of the controlled system is coupling with Photovoltaic (PV) generator to a DC motor pump system. This helps extracting and tracking the maximum available power. In this system, a DC-DC buck-boost converter controls the solar array operating point in order to track maximum power point (MPP).

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2015 16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)

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