• Aslesha.B
• Ganesh.J
• Shrikar.G
• Sunitha.E

Maximum Power Point Trackers (MPPT) have a well-established track record of improving photovoltaic (PV) module efficiency. By guaranteeing impedance matching between the PV modules and the connected load, they enable the modules' power output to be maximized. The complexity, tracking speed, cost, accuracy, sensor requirements, and hardware demands of the many MPPT systems that have been developed vary. The design and modeling of an MPPT controller based on the Adaptive Neuro-Fuzzy Inference System (ANFIS) is the focus of this work. The suggested system provides a dynamic and adaptive control technique to account for variations in temperature, irradiance, and load while optimizing the efficiency of PV modules in a range of environmental circumstances. The complex and non-linear features of the system are accommodated by the use of fuzzy logic, which makes it easier to dynamically reach the ideal operating point in accordance with the current environmental conditions. Extensive simulations carried out in the MATLAB/SIMULINK environment are used to assess the effectiveness of the suggested ANFIS-based MPPT controller. The simulation results show how well the system performs in different load, temperature, and irradiance scenarios. Furthermore, the ANFIS-based controller reduces oscillations around the maximum power point (MPP) and offers a faster and more stable dynamic response as compared to the traditional Incremental Conductance (INC) MPPT technique.

PV systems, MPPT methods, DC-DC converter, adaptive neuro-fuzzy inference, system (ANFIS), increased conductivity (INC), fuzzy logic controller (FLC).

"EXAMINING THE POSSIBILITIES OF A MAXIMUM POWER POINT TRACKING CONTROLLER FOR SOLAR PHOTOVOLTAIC SYSTEMS BASED ON ANFIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 3, page no.f573-f583, March-2026, Available :http://www.jetir.org/papers/JETIR2603573.pdf

"EXAMINING THE POSSIBILITIES OF A MAXIMUM POWER POINT TRACKING CONTROLLER FOR SOLAR PHOTOVOLTAIC SYSTEMS BASED ON ANFIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 3, page no. ppf573-f583, March-2026, Available at : http://www.jetir.org/papers/JETIR2603573.pdf