India is an agrarian economy, and with remote or village areas without electricity, solar water pumping systems are transforming agriculture by providing power to farmers for everything from water pumping to crop harvesting. To make the solar pumping system highly efficient BLDC motor is used which gives higher water output for the given capacity of solar panels as compared to the AC pump. In this paper, an efficient Global Maximum Power point Tracking Method is proposed for a Solar Photovoltaic BLDC motor water pumping system. Literature review shows that an efficient control technique capable of tracking Maximum Power Point is needed. A non-linear current control method called one cycle control is integrated with the Particle Swarm Optimization algorithm for the effective operation of the system under normal and varying partial shading conditions. The obtained duty cycle from the MPPT algorithm is given to One Cycle Control for generating switching pulses of the DC-DC converter. The KY converter feeds the Voltage Source Inverter which gives its output to the BLDC motor which drives the pump for irrigation applications. The simulation and experimental results obtained from the proposed system are compared with the commonly used Particle Swarm Optimization Algorithm and hybrid PSO-PO Algorithm under normal and varying irradiation conditions. It is detected that the PSO algorithm with One Cycle Control has achieved superior performance in terms of performance accuracy and response time and got lesser disturbances under varying irradiance conditions.