Photovoltaic (PV) generation is largely recognized around the world since it is a renewable resource and it offers advantages such as no fuel costs, less maintenance, zero noise and pollution emission. The specific control and maximum operation of the output power of the solar module is thus crucial and it is required to control the maximum power point tracking for the solar array in a PV module. The objective of this paper is to design a conveyor belt system driven by DC motor whose speed is controlled by solar powered converter operating at Maximum Power Point. In this research, a comparative study of widely-adopted MPPT algorithms such as perturb and observe , incremental conductance algorithm are compared with fuzzy logic algorithm. The results indicated that fuzzy logic algorithms has more stable output power at maximum power operating condition. The PWM signal generated by this method is implemented as a gating signal to boost converter and DC motor drive circuit switches. In the real time implementation, a 50 W rated solar panel is used to draw power and supplied to DC motor drive circuit via boost controller to drive the conveyor system. The designed system is tested using Matlab. After adjusting parameters for real time implementation, the tested circuit is implemented practically to drive the conveyor system with added load at certain intervals. The results shows that the maximum power is extracted from the solar panel at all available times to drive the boost converter and dc motor drive circuit. The measurement of voltage and current at different loading and irradiance conditions shows the practical implantation of the proposed algorithm is successful.