Solar energy is a rapidly growing energy resource among the renewable energy resources in the market and the potential of solar energy is enormous to contribute to the energy demand in almost all countries. Solar irradiation and temperature mainly depend on the output power produced by the photovoltaic conversion process. Therefore, the maximum power point of the PV array is followed to maximize the efficiency of the PV system. The Maximum Power Point Tracking (MPPT) control system generally takes care of extracting maximum power from sunlight. In this paper, a new MPPT algorithm using hill climbing method and fuzzy system is presented to ensure the maximum MPPT efficiency to ensure the maximum power across the inverter terminals. Due to the reduction in the number of switches in the proposed inverter, the switching losses are reduced. Thus, the proposed inverter becomes a new solution sufficient for many applications such as automotive electronics, photovoltaic systems, solar home applications and other power supply systems. Here in this paper, the intelligent control method uses a fuzzy logic controller applied to a DC-AC converter device. The effectiveness of the proposed algorithm is validated by simulation in Matlab/Simulink. The result shows that the fuzzy logic controller has better performance compared to that of the conventional method and the hardware implementation of the open-loop system also presented. INTRODUCTION The unavoidable costs of using fossil fuels to generate electricity have led to many interests being attracted to green energy sources. recently. Among these green energy sources, solar energy is perhaps the most important because it is available almost everywhere unlike wind, geothermal, sea waves, etc. Due to h...... middle of paper ......Fig. 15 Total harmonic distortionTABLE.1 Comparison of simulation and hardware results for an open-loop systemSystem output voltage (volts) Power (watts)THD (%)Simulation-open-loop 60 V 186 W 13.40%Hardware-loop open 58.8V 159.6W 9.9%CONCULSION Compared with the above simulation result, we ensure that the output power of the solar panel is increased by using a maximum power point technique based on fuzzy by compared to the conventional method of MPPT algorithm. A PV interfaced fuzzy MPPT controller with boost inverter is implemented in this paper, to convert DC input voltage to higher output AC voltage using PWM techniques and is connected to the load. The proposed topology has several desirable features such as low cost and compact size, as the number of switches used and power increase are limited to four compared to six switches used in conventional two-stage inverters..