Worldwide renewable energy resources, especially solar energy, are growing dramatically in view of energy shortage and environmental concerns. Large-scale solar photovoltaic (PV) systems are typically connected to medium voltage distribution grids, where power converters are required to convert solar energy into electricity in such a grid-interactive PV system. This study are designing of solar energy system in MATLABSIMULINK environment which can be integrated with the grid for its efficient operation. The grid integration is necessary to ace the system reliable under various environmental conditions. Enhancing the DC input voltage to the inverter so that in its aspect the AC output from the inverter is also enhanced. And designing of a universal bridge inverter and AI based intelligent control for it such that it enhances the power output from the solar PV system. Designing of efficient rules for the inverter control using FUZZY algorithm. This work proposes an optimized active power enhancement method and evaluates the effect of fuzzy based controller for power enhancement on system reliability and power quality in the grid-interactive PV system with cascaded converter modules. Fuzzy set of rules are defined in a manner such that it is proved to be effective in enhancing the current output keeping the grid voltage same and hence the power output from the systems of cascaded PV modules. it can be concluded that if designing a cascaded PV solar system it is possible to increase the active power output from the inverter just by using fuzzy set of rules for firing pulses in the inverter.