Hopfield Neural Network Optimized Fuzzy Logic Controller for Maximum Power Point Tracking in a Photovoltaic System

Joint Authors

Shareef, Hussain
Subiyanto,
Mohamed, Azah

Source

International Journal of Photoenergy

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2011-10-24

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Chemistry

Abstract EN

This paper presents a Hopfield neural network (HNN) optimized fuzzy logic controller (FLC) for maximum power point tracking in photovoltaic (PV) systems.

In the proposed method, HNN is utilized to automatically tune the FLC membership functions instead of adopting the trial-and-error approach.

As in any fuzzy system, initial tuning parameters are extracted from expert knowledge using an improved model of a PV module under varying solar radiation, temperature, and load conditions.

The linguistic variables for FLC are derived from, traditional perturbation and observation method.

Simulation results showed that the proposed optimized FLC provides fast and accurate tracking of the PV maximum power point under varying operating conditions compared to that of the manually tuned FLC using trial and error.

American Psychological Association (APA)

Subiyanto, & Mohamed, Azah& Shareef, Hussain. 2011. Hopfield Neural Network Optimized Fuzzy Logic Controller for Maximum Power Point Tracking in a Photovoltaic System. International Journal of Photoenergy،Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-499023

Modern Language Association (MLA)

Subiyanto,…[et al.]. Hopfield Neural Network Optimized Fuzzy Logic Controller for Maximum Power Point Tracking in a Photovoltaic System. International Journal of Photoenergy No. 2012 (2012), pp.1-13.
https://search.emarefa.net/detail/BIM-499023

American Medical Association (AMA)

Subiyanto, & Mohamed, Azah& Shareef, Hussain. Hopfield Neural Network Optimized Fuzzy Logic Controller for Maximum Power Point Tracking in a Photovoltaic System. International Journal of Photoenergy. 2011. Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-499023

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-499023