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.
In this paper, we consider the problem of delay dependent stability of neutral system with time varying delays. By using an augmented Lyapunov functional, a new delay dependent sufficient stability criterion is obtained in terms of Linear Matrix Inequalities LMIs. The proposed approach involves neither free weighting matrices, nor any model transformation, and it is shown that these criteria can provide less conservative results than some existing ones. Numerical examples are considered to show the efficiency of the proposed stability approach.
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.
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