Abstract
Objectives: This paper shows the efficiency of using a sliding mode control of a photovoltaic pumping system, which is strongly non-linear. It contains several non-linear sub-systems (photovoltaic generator, DC/AC converter, an asynchronous three phase motor-pump, centrifugal pumps and two coupled tanks). The mathematical model of the whole system was achieved after the modeling of the various parts constituting it. Furthermore, an FPGA implementation on the map Xilinx Spartan 3A was performed to prove the effectiveness of the proposed sliding mode control of the motor-pump angular speed. Methods/Statistical analysis: The values of the irradiance and the temperature were respectively measured by the sensors (photo resistance and LM35). They vary according to the climatic conditions that change permanently during the year. Experimental results are compared with those obtained in Matlab. Findings: The motor-pump speed reached its maximum value when the irradiance is maximal. Likewise, a low irradiance allows a low speed. The FPGA board is responsible for finding the suitable frequency according to the instantaneous irradiance. This frequency will be the reference in the scalar control implemented on the DV51, which powers the motor-pump. Hence, we have carried out a real-time control according to the climatic conditions. Application/Improvements: Pumping is an alternative way of managing water resources in different areas (surface water, groundwater, desalination, agricultural use or industry).In the future work; we can control the water levels in the coupled tanks.
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