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首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Feedforward maximum power point tracking of PV systems using fuzzy controller
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Feedforward maximum power point tracking of PV systems using fuzzy controller

机译：基于模糊控制器的光伏系统前馈最大功率点跟踪

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摘要

A feedforward maximum power (MP) point tracking scheme is developed for the interleaved dual boost (IDB) converter fed photovoltaic (PV) system using fuzzy controller. The tracking algorithm changes the duty ratio of the converter such that the solar cell array (SCA) voltage equals the voltage corresponding to the MP point at that solar insolation. This is done by the feedforward loop, which generates an error signal by comparing the instantaneous array voltage and reference voltage. The reference voltage for the feedforward loop, corresponding to the MP point, is obtained by an off-line trained neural network. Experimental data is used for off-line training of the neural network, which employs back-propagation algorithm. The proposed fuzzy feedforward peak power tracking effectiveness is demonstrated through the simulation and experimental results, and compared with the conventional proportional plus integral (PI) controller based system. Finally, a comparative study of interleaved boost and conventional boost converter for the PV applications is given and their suitability is discussed.
机译：针对使用模糊控制器的交错双升压（IDB）转换器馈电光伏（PV）系统，开发了前馈最大功率（MP）点跟踪方案。跟踪算法更改转换器的占空比，以使太阳能电池阵列（SCA）电压等于该日照下与MP点相对应的电压。这是由前馈环路完成的，前馈环路通过比较瞬时阵列电压和参考电压来生成误差信号。前馈回路的参考电压（对应于MP点）是通过离线训练的神经网络获得的。实验数据用于神经网络的离线训练，该神经网络采用反向传播算法。通过仿真和实验结果证明了所提出的模糊前馈峰值功率跟踪效果，并与传统的比例积分（PI）控制器系统进行了比较。最后，对交错式升压转换器和传统升压转换器在光伏应用中的对比研究进行了讨论，并讨论了它们的适用性。

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