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引用次数: 0
摘要
光伏(PV)的性能直接受气候变化的影响,控制器可保持最大潜在能量对话,使抽水系统在额定条件下运行,模糊逻辑智能控制器成功地适用于工程和应用科学领域。本文旨在介绍一种基于 Arduino Mega 微控制器的模糊逻辑最大功率点跟踪(MPPT)与升压转换器的实验方法,以在不同天气条件下最大限度地提高能源生产,该方法适用于偏远地区用于水和化学液体分析的小型抽水系统。该系统由 20 (W) 太阳能光伏 (PV) 板供电。本文介绍了一种实时 MATLAB/Simulink 模糊逻辑方法,该方法利用低成本 Arduino Mega 微控制器与 (LV25, LP55) 传感器相结合,控制与太阳能电池板和塑料泵互连的升压转换器,从而控制和监测 MPPT 应用。
Implementation of fuzzy logic MPPT based on Arduino in small scale PV pumping system
The performance of photovoltaic (PV) affected directly by climatic changes, The controller maintain maximum potential energy conversation to operate the pimping system at nominal conditions, fuzzy logic intelligent controllers are successfully suitable and applicable in engineering and applied science. The aim of this paper is present an experimental approach in Implementation of fuzzy logic maximum power point tracking (MPPT) with boost converter based on Arduino Mega micro-controller to maximize energy production in different weather condition applied to small scale pumping system for water and chemical fluid analyses in isolated area. The system is supplied by 20 (W) solar photovoltaic (PV) panel. This paper present a real-time MATLAB/Simulink fuzzy logic method controlling and monitoring MPPT application using an low cost Arduino Mega micro-controller combined with (LV25, LP55) sensors controlling boost converter interconnected with solar panel and plastic pump.