Hopfield Neural Network Optimized Fuzzy Logic Controller for Maximum Power Point Tracking in a Photovoltaic System

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td align="left" rowspan="2">No.</td><td align="center" colspan="2">Solar irradiation (W/m<sup>2</sup>)</td></tr><tr><td align="center">Part I</td><td align="center">Part II</td></tr><tr><td align="center" colspan="3"><hr/></td></tr><tr><td align="left">(1)</td><td align="center">1000</td><td align="center">200</td></tr><tr><td align="left">(2)</td><td align="center">1000</td><td align="center">400</td></tr><tr><td align="left">(3)</td><td align="center">1000</td><td align="center">600</td></tr><tr><td align="left">(4)</td><td align="center">1000</td><td align="center">800</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Various partial shaded solar irradiation.

International Journal of Photoenergy

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Table 2

Table 2: Hopfield Neural Network Optimized Fuzzy Logic Controller for Maximum Power Point Tracking in a Photovoltaic System 