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Design of a neural network control scheme for the maximum power point tracking (MPPT)

This paper proposes a control method for the maximum power point tracking (MPPT) of
a photovoltaic system and this with the aim of increasing the output power of a photovoltaic system.
An electronic controller is built-in between the photovoltaic generator and the load, whose principal
role is the permanent monitoring of the maximum power point of the PV generator commonly called
MPPT (Maximum Power Point Tracking) and that in general by acting on a DC-DC converter
device. The contribution of this paper resides at the level DC converter device. The contribution of
this paper resides at the level of the electric output of the converter, which can be estimated thru
three state variables, which are the solar insolation, the temperature of the junction and information
on the dynamics of the charging voltage if it exists.


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