@article{Dr. P .Karpagavalli_2020, title={ANALYZING FUZZY LOGIC APPROACH MAXIMUM POWER POINT TRACKING (MPPT) FOR SOLAR POWER GENERATION}, volume={29}, url={http://sersc.org/journals/index.php/IJAST/article/view/5665}, abstractNote={<p><em>The proposition is the Maximum Power Point Tracking (MPPT) tracking control for PV age framework with the assistance of fuzzy logic framework. A few strategies were utilized before, to improve the exhibitions of MPPT procedure however we proposed another method called TS fuzzy control for better execution of MPPT. We can modify the converter obligation proportion to set maximum power point and in TS fuzzy control approach, which incorporate the actuator limitation to investigate the PV framework. The fuzzy controller for the converter MPPT plot shows the voltage with no progressions in various burden conditions at the inverter yield (load) side. It was discovered that the Sliding mode gives higher vitality yields freely of the period. Contrasted with the essential P&amp;O and the IC procedures, sliding mode has the capability of producing up to 8.18% more electrical vitality than different strategies.</em></p&gt;}, number={3s}, journal={International Journal of Advanced Science and Technology}, author={Dr. P .Karpagavalli, Mahadik Devidas Kundalik,}, year={2020}, month={Mar.}, pages={530 - 536} }