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Summary Currently, the majority of economic activities depend on energy management and water management. We note, in the case of Tunisia, that the quantities of water have changed a little during the last 10 years, and the use of energies renewable energy, such as photovoltaic (PV) energy, has been decisive in curbing the increase in conventional and thus reduce the production of greenhouse gases. Optimum matching of loads to PV generator is most desirable for more accurate sizing. Because of the high PV generator's cost, the system designer is mainly interested in its full utilization by optimum matching of the system components during all operating period. Application of PV power to electromechanical loads requires an understanding of the dynamics of such systems. Our system has a hybrid and complex character and requires a good modeling of the energetic point of view before passing the phase of design of control laws. So, I use the graphical approach of modeling called dedicated bond graph for this type of system, and this tool showed very interesting results in the level of the modeling, dimensioning, monitoring, and diagnostics. The application of bond graph technique for the modeling of PV systems is not yet widespread. On the other hand, in order to ensure optimal operation of the system, to guarantee maximum output energy, and to reduce the adverse effects due to load disturbances, it is necessary to have a robust control of the induction machine against its composition and the existence of the coupling between the magnetic flux and the driving torque on the one hand and on the other hand the use of an estimator for the reconstruction of the flux, which is an almost unmeasurable quantity (requires an expensive and fragile). The purpose of this work is to study the pumping station coupled to a PV generator by a graphical modeling called bond graph, after which I design the laws of robust commutations by fuzzy logic. The design of robust control laws using fuzzy logic in the vector control aims to determine the maximum power point by the optimized P&O algorithm, to control of the mechanical speed of the pump, and to determinate of the reference speed that I get a maximum efficiency of the structure. The results of simulations show the robustness and performance of these fuzzy controllers.

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