This thesis focuses on the Design and Analysis of Fuzzy Logic based Voltage Controller for a DC-DC Boost Converter Applicable for Solar Photovoltaic Interfacing. As the demand for renewable energy sources continues to rise, optimizing the performance of solar energy systems has become increasingly critical. The problem of voltage regulation in solar photovoltaic systems is investigated in this study in since it is critical to stable operation and effective energy conversion in a variety of environmental situations. This study's objective is to produce a reliable fuzzy logic control algorithm that maximizes power extraction from solar panels and improves voltage stability. Using MATLAB/Simulink and hardware setups, the approach entails designing a fuzzy logic controller integrated with a DC-DC boost converter, then conducting extensive simulations and experimental justification. These PID controller constants are as follows: kp = 0.01, ki = 0.1, and kd = 0.1; maximum overshoot voltage (Mp) = 18.07 V; rise time = 0.024 seconds; settling time = 0.896 seconds; transient state = 0.024 seconds; and steady-state error of 21%. The FL controller constant simulation results showed a 15% steady-state error, a rise time of 0.004 transient state = 0.018 seconds, and a settling time of 0.41 seconds. According to the control output voltage DC-DC boost converter results fed by PV, FL outperformed the PID controller. In this thesis, the performance of the proposed controller has been simulated using MATHLAB/Simulink software. The simulation results show that the FLC has an efficiency value of 99.98% but the PID has 94.78% and the hardware implement has 99.966%. The FLC has very low oscillations in the same range as the two controllers, 0.025 to 0.04, with a voltage level with a higher value of 74.75v, while the classical one has a with a lower value of 73v and a hardware implement value of 74.7v. The simulation results showed that fuzzy Logic control has fast dynamic performance with less oscillation and higher efficiency of controlling compared to the PID control. Results revealed superior controlling capability of the proposed algorithms over traditional techniques