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首页> 外文期刊>International journal of sustainable energy >Comparative study between two intelligent MPPT-controllers implemented on FPGA:application for photovoltaic systems
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Comparative study between two intelligent MPPT-controllers implemented on FPGA:application for photovoltaic systems

机译：在FPGA上实现的两个智能MPPT控制器的比较研究：在光伏系统中的应用

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摘要

A comparison between two intelligent maximum power point tracking (MPPT) controllers for photovoltaic systems is presented in this article. The presented MPPTs are based on the fuzzy logic controller (FLC) and neuro-fuzzy controller (NFC). Both controllers are designed and implemented on a Xilinx (Virtex-IIV2MB1000) reconfigurable field programmable gate array using hardware description language. Implemented controllers have been simulated and tested under constant and rapid variation of atmospheric conditions. Results show that the NFC performs better than the FLC in the viewpoint efficiency, response time and stability; however, with regard to the simplicity of implementation, the FLC is less complicated than the NFC.
机译：本文介绍了用于光伏系统的两个智能最大功率点跟踪（MPPT）控制器之间的比较。提出的MPPT基于模糊逻辑控制器（FLC）和神经模糊控制器（NFC）。两种控制器均使用硬件描述语言在Xilinx（Virtex-IIV2MB1000）可重配置现场可编程门阵列上设计和实现。已实现的控制器已在大气条件恒定且快速变化的情况下进行了仿真和测试。结果表明，NFC在效率，响应时间和稳定性方面比FLC更好。但是，就实现的简便性而言，FLC比NFC复杂。

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