Abstract:
The objective of the work presented in this thesis concerns the study and control of a photovoltaic (PV)
pumping system in alternating mode operating at its maximum power. For this, we carried out a
comparative study between two control structures of an induction motor (IM) driving a pump. It is the
indirect version of classical vector control (IFOC) and a nonlinear control technique called “sliding
mode”. The simulation results allowed us to distinguish the effectiveness of sliding mode control in
terms of regulation, tracking, and disturbance rejection compared to conventional vector control. The
motor-pump system is fed by a PV solar generator via a voltage inverter controlled by pulse-width
modulation vector (MLIV). In order to obtain an optimized maximum power from the PV source
regardless of the variation in the level of irradiance or temperature, we have studied several types of
PPM tracking techniques: Peturb & Observe (P&O), Hill- Climbing, Inc-Conductance technique,
voltage regulation technique (Fraction of Vco), and Fuzzy MPPT technique. A comparative study was
carried out between these different types of MPPT. The simulation results showed the superiority of the Fuzzy MPPT technique compared to other techniques in terms of PPM search speed, accuracy, and robustness to changes in climatic conditions.
