Abstract

Renewable energy is suitable environmental, energy resources for the new generation. The solar energy system plays a dominant role in electric power generation. The solar panel tracking depends on the sun create the power. The solar panel tracker system among the important element in the PV system, obtaining greatest efficiency several types of the has been suggested in the composition to improve the performance. This solar panel tracking process has been used the for superior performance. Because in this system reduces the sun data error processing and detects the uncertainty weather. Its performance has been studied by using Mat lab simulation. In this system, then compare to fuzzy logic controller the proposed neuro-fuzzy controller is found to provide better performance.

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