This paper presents a performance analysis of control methods to track the maximum power point (MPP) of photovoltaic (PV) systems for water pumping stations in DJORF TORBA, BECHAR. The tracking takes place under different meteorological conditions. The investigated PV system consists of a solar panel, a DC/DC converter and a buck-boost converter connected to a load. The compared MPPT (Maximum Power Point Tracking) algorithms are the Perturb and Observe (P&O) method, the cascaded PI control, a Mamdani fuzzy logic technique and finally a sliding mode control. The parameters taken into account for the performance evaluation of the MPPT algorithm are the efficiency, the uniform and dynamic behavior of the system under changing conditions such as temperature and irradiation and thus the signal ripple. After comparing these methods and presenting the one with the best results using MATLAB Simulink software for further analysis with different irradiation and temperature conditions. The simulation results are presented and they demonstrate the effectiveness of the sliding mode control method in parameter variation scenarios. The simulation was performed with real data parameters courtesy of the Algerian National Company of Electricity Production (Sonelgaz).