Sliding mode controller with fuzzy supervisor for MPPT of Photovoltaic Pumping system

Abstract

This paper focuses on a photovoltaic system for pumping water since the use of photovoltaic energy has grown quickly due to its direct obtainability without pollution or noise. This paper proposes a new MPPT controller based on Takagi-Sugeno type fuzzy supervisors and a sliding mode controller. The first generate the maximum power point current under varying climatic condition whereas, the second allows tracking the reference signal produced by the fuzzy supervisor. The system includes a photovoltaic (PV) generator followed by a DC-DC Converter, DC bus, an AC/DC inverter which is connected to the induction motor. This later is coupled to a centrifuge pump. The induction motor is driven based on field oriented control strategy. The Takagi-Sugeno (T-S) type fuzzy supervisors predicts, depending on the variations of climatic variables such as irradiation and temperature, the optimum operating point for the photovoltaic source. The simulation results show the effectiveness of the proposed approach in transient and stationary regimes for different values ​​of climatic variables.