@inproceedings{0e6be6b48f114eef801cae14e11c6737,
title = "RBF and BPNN combi model based KALMAN filter application for maximum power point tracker of PV cell",
abstract = "A Maximum power point tracking (MPPT) allows the photovoltaic module to operate at its maximum power point. It is done using a converter that regulates the power that is drawn from the converter. By varying the duty cycle of the switches, the energy transferred through the converter can be precisely controlled. This paper deals with simulation of estimator for a digital tracking system used for simulation of maximum power point PV tracker using KALMAN Filter. For the simulation Back-Propagation and Radial Basis Network are used as Artificial Neural Network (ANN) tool. The objective of this paper is to discuss the use of KALMAN filter as an estimator in the area of photovoltaic cell power tracking.",
author = "Kamath, \{H. R.\} and Goswami, \{A. K.\} and Aditya Kumar and Aithal, \{R. S.\} and Singh, \{P. K.\}",
year = "2011",
language = "English",
isbn = "9789881925121",
volume = "2",
series = "IMECS 2011 - International MultiConference of Engineers and Computer Scientists 2011",
pages = "1006--1011",
booktitle = "IMECS 2011 - International MultiConference of Engineers and Computer Scientists 2011",
note = "International MultiConference of Engineers and Computer Scientists 2011, IMECS 2011 ; Conference date: 16-03-2011 Through 18-03-2011",
}
