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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：使用模糊控制器的PV系统的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：用于使用模糊控制器的交织双升压（IDB）转换器进料光伏（PV）系统开发了前馈最大功率（MP）点跟踪方案。跟踪算法改变转换器的占空比，使得太阳能电池阵列（SCA）电压等于与该太阳能缺失的MP点对应的电压。这由前馈回路完成，通过比较瞬时阵列电压和参考电压来产生误差信号。通过离线训练的神经网络获得对应于MP点的前馈环的参考电压。实验数据用于神经网络的离线训练，采用反向传播算法。通过模拟和实验结果证明了所提出的模糊前馈峰值功率跟踪效果，并与传统比例加积分（PI）控制器的系统进行比较。最后，给出了对PV应用的交错升压和传统升压转换器的比较研究，并讨论了它们的适用性。

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