实现了MPPT光伏直流泵电机的自适应模糊NARX控制器

H. Anh, N. Phuc
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引用次数: 3

摘要

本文提出了一种新的模糊NARX模型在光伏供电直流电机泵系统最佳工作点辨识中的应用。利用改进的遗传算法(GA)来训练所提出的基于模糊narx的控制器,以识别太阳能电池板的最大功率点。该算法通过升压功率变换器将太阳能板与电机负载进行匹配,使组合系统在最优点运行。模糊NARX模型的输入参数为太阳辐射和工作温度,输出参数为太阳能板的最大功率输出或组合光伏系统的总机械能输出(GME)所对应的变流器斩波比。通过基于自适应模糊narx的控制器,得到了不同太阳辐射和温度下变换器的斩波比。仿真结果证明了所提出的模糊MISO NARX控制器的性能和效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation an adaptive fuzzy NARX controller for MPPT PV supplied DC pump motor
This paper presents an application of a novel fuzzy NARX model for the identification of the optimal operating point of a PV supplied DC motor pumping system. A modified genetic algorithm (GA) is used to train the proposed fuzzy NARX-based controller for the identification of the maximum power point of the solar panel. The developed algorithm based on matching of the solar panel to the motor load through a buck-boost power converter so that the combined system can operate at the optimum point. The input parameters to the fuzzy NARX model are solar radiation and working temperature meanwhile the output parameter is the converter chopping ratio corresponding to the maximum power output of the solar panel or gross mechanical energy output (GME) of the combined PV system. The converter chopping ratios at different solar radiation and temperature are obtained from the adaptive fuzzy NARX-based controller. Simulation results proved the performance and efficiency of the proposed fuzzy MISO NARX controller.
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