Adaptive wavelet network sliding mode control for a photovoltaic-pumping system

Abstract This paper presents an adaptive wavelet network sliding mode control (AWNSMC) scheme to track the maximum power point tracking in photovoltaic (PV) pumping systems. For the best use, the PV-generator must operate at its maximum power point. The proposed approach combines the advantages of the wavelet network (WN) and those of sliding mode control (SMC) to adjust the duty cycle control law in order to satisfy reaching conditions without producing chattering phenomenon. Indeed, due to its ability to approximate non-linear function and its fast convergence, a WN system is used to approximate the system uncertainties that are incorporated in the equivalent control component; as a result, it enables a lower switching gain to be used in the robust SMC term. The effectiveness of the designed AWNSMC is illustrated in simulations by a comparison with both standard SMC and neural network SMC techniques.

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