**7. Conclusions**

In this paper, the behavior and functioning of a solar water pumping system are studied. In a direct coupling, the performance of the system is related to the operating point. The latter can be more or less distant from the MPP as a function of climatic conditions. In this case, the efficiency of the MPPT depends strongly on the meteorological data and the characteristics of the motor pump. In this perspective, the improvement of the efficiency and power transfer quality of the system is provided by the SEPIC converter proposed in this study. Then, different control techniques of the SEPIC converter have been developed to optimize the power transfer. Finally, the analysis of the simulation results reveals that the combined hybrid method of fuzzy logic and the INC technique provides excellent static and dynamic performance compared with other techniques in terms of robustness, efficiency, stability, and tracking speed. According to the simulation results, the hybrid FL-INC technique provides a pumping rate gain of 5% over the M-INC technique, 8.5% over the P&O technique, and 55% over the direct coupling. The perspectives of this research work would be to test the developed optimization techniques in a real operating context.

**Author Contributions:** Conceptualization, A.H., M.A.M. and N.E.O.; methodology, M.A.M., S.M. and A.H.; software, A.H., S.M. and M.A.M.; validation, A.H., M.A.M., A.S.A.-S. and N.E.O.; formal analysis, A.H., M.A.M., S.M. and N.E.O.; investigation, S.M., M.A.M., N.E.O. and A.S.A.-S.; resources, S.M., M.A.M., N.E.O. and A.H.; data curation, A.H., S.M. and N.E.O.; writing—original draft preparation, A.H., N.E.O. and M.A.M.; writing—review and editing, A.H., S.M., M.A.M. and A.S.A.-S.; visualization, A.H., M.A.M. and S.M.; supervision, M.A.M. and A.S.A.-S.; project administration, M.A.M. and A.S.A.-S.; funding acquisition, A.S.A.-S. and M.A.M. All authors have read and agreed to the published version of the manuscript.

**Funding:** This research is supported by Khalifa University as part of research excellence award 8474000427 and ASPIRE under the ASPIRE Virtual Research Institute (VRI) Program, Award Number VRI20-07.

**Data Availability Statement:** The data are available upon request from the corresponding author (M.A.M.).

**Conflicts of Interest:** The authors declare no conflict of interest.
