Table of Contents
ISRN Renewable Energy
Volume 2014, Article ID 253146, 10 pages
http://dx.doi.org/10.1155/2014/253146
Research Article

MPPT Algorithm for Photovoltaic Panel Based on Augmented Takagi-Sugeno Fuzzy Model

Laboratory of Sciences and Techniques of Automatic Control & Computer Engineering (Lab-STA), National School of Engineering of Sfax, University of Sfax, P.O. Box 1173, 3038 Sfax, Tunisia

Received 30 October 2013; Accepted 19 December 2013; Published 17 February 2014

Academic Editors: T.-H. Meen and R. Miles

Copyright © 2014 Hafedh Abid et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. A. Chermitti, O. Boukli-Hacene, and B. Mohamed, “Improvement of the “perturb and observe” MPPT algorithm in a photovoltaic system under rapidly changing climatic conditions,” International Journal of Computer Applications, vol. 56, no. 12, pp. 5–10, 2012. View at Google Scholar
  2. J. J. Nedumgatt, K. B. Jayakrishnan, S. Umashankar, D. Vijayakumar, and D. P. Kothari, “Perturb and observe MPPT algorithm for solar PV systems-modeling and simulation,” in Proceedings of the Annual IEEE India Conference: Engineering Sustainable Solutions (INDICON '11), Hyderabad, India, December 2011. View at Publisher · View at Google Scholar · View at Scopus
  3. A. P. K. Yadav, S. Thirumaliah, and G. Haritha, “Comparison of MPPT algorithms for DC-DC converters based PV systems,” International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, vol. 1, no. 1, pp. 18–23, 2012. View at Google Scholar
  4. M. Azzouzi, “Comparaison between MPPT P&O and MPPT fuzzy controls in optimizing the photovoltaic generator,” International Journal of Advanced Computer Science and Applications, vol. 3, no. 12, pp. 57–62, 2012. View at Google Scholar
  5. S. Gomathy, S. Saravanan, and S. Dr. Thangave, “Design and implementation of maximum power point tracking (MPPT) algorithm for a standalone PV system,” International Journal of Scientific & Engineering Research, vol. 3, no. 3, pp. 2229–5518, 2012. View at Google Scholar
  6. G. Balasubramanian and S. Singaravelu, “Fuzzy logic controller for the maximum power point tracking in photovoltaic system,” International Journal of Computer Applications, vol. 41, no. 12, pp. 22–28, 2012. View at Google Scholar
  7. L. Jie and C. Ziran, “Research on the MPPT algorithms of photovoltaic system based on PV neural network,” in Proceedings of the Chinese Control and Decision Conference (CCDC '11), pp. 1851–1854, Mianyang, China, May 2011. View at Publisher · View at Google Scholar · View at Scopus
  8. S. Singer, B. Rozenshtein, and S. Surazi, “Characterization of PV array output using a small number of measured parameters,” Solar Energy, vol. 32, no. 5, pp. 603–607, 1984. View at Google Scholar · View at Scopus
  9. H. O. Wang, K. Tanaka, and M. Griffin, “Parallel distributed compensation of nonlinear systems by Takagi-Sugeno fuzzy model,” in Proceedings of the IEEE International Conference on Fuzzy Systems, pp. 531–538, March 1995. View at Scopus
  10. L. El Ghaoui and G. Scorletti, “Control of rational systems using linear-fractional representations and linear matrix inequalities,” Automatica, vol. 32, no. 9, pp. 1273–1284, 1996. View at Publisher · View at Google Scholar · View at Scopus