Abstract
In this paper a hybrid controller for tracking the maximum power point of photovoltaic modules is proposed. For an accurate modelling, the double diode model was adopted, and so as to decrease the current undulation the single-ended primary-inductor-converter was used. The proposed controller is developed by integrating sliding mode and Artificial Neural Network, the latter has been designed to delivers an optimal voltage, which corresponds to the voltage of the maximum power point, whereas the sliding mode was developed to track the signal of the reference voltage by computing the duty cycle of the converter. The simulation has been carried out using Simulink software under different environmental conditions, the results show that the MPPT controller tracks the reference voltage in 80 ms, and exhibits good performance at brusque variation of temperature and irradiation, in addition the accuracy of the proposed method was further justified against previous work.
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Chennoufi, K., Ferfra, M. (2021). Maximum Power Point Tracking Using SEPIC Converter and Double Diode Solar Cell Model. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2021. Lecture Notes in Networks and Systems, vol 211. Springer, Cham. https://doi.org/10.1007/978-3-030-73882-2_106
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DOI: https://doi.org/10.1007/978-3-030-73882-2_106
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