RBF and BPNN combi model based KALMAN filter application for maximum power point tracker of PV cell

H. R. Kamath, A. K. Goswami, Aditya Kumar, R. S. Aithal, P. K. Singh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationIMECS 2011 - International MultiConference of Engineers and Computer Scientists 2011
Pages1006-1011
Number of pages6
Volume2
Publication statusPublished - 2011
EventInternational MultiConference of Engineers and Computer Scientists 2011, IMECS 2011 - Kowloon, Hong Kong
Duration: 16-03-201118-03-2011

Conference

ConferenceInternational MultiConference of Engineers and Computer Scientists 2011, IMECS 2011
CountryHong Kong
CityKowloon
Period16-03-1118-03-11

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Engineering(all)

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    Kamath, H. R., Goswami, A. K., Kumar, A., Aithal, R. S., & Singh, P. K. (2011). RBF and BPNN combi model based KALMAN filter application for maximum power point tracker of PV cell. In IMECS 2011 - International MultiConference of Engineers and Computer Scientists 2011 (Vol. 2, pp. 1006-1011)