Adaptive solar tracker based in a programable logic controller for photovoltaic panels

  • Celso de la Cruz Casaño Universidad Continental
  • Carlos León Adauto Universidad Continental
  • Jhosmel Mandujano Espinal Universidad Continental
  • Rudy Cáceres Ravichagua Universidad Continental
  • Isaac Rojas Malpartida Universidad Continental
Keywords: Solar tracker, adaptive controller, photovoltaic panel, programmable logic controller.

Abstract

Objectives: Develop an adaptive solar tracker system for photovoltaic solar panels which does not require an initial configuration. Methods: A structuralist method was used, where the reality is observed, models are developed, and the structure is analyzed. Blocks programming of the programmable logic controller (PLC) and mechanisms models were used to develop the solar tracker model. And also control engineering theories were used like the dynamic systems stability and the adaptive control. The stability testing and the correct operation are analyzed using the whole system, then, these analyzes are validated with simulations and experimentations. Results: Simulation and experimental results are presented, these make evident that the adaptive controller keeps very low the tracking control error although the cloudy conditions. An initial configuration was not required in simulations and experimentations; this fact is one of the requirements that is needed to reach in the objectives. The advantage of the adaptation is that the solar tracker will follow the sun path; even though the sun could be hidden by the clouds. Conclusions: The contribution was to provide a novel design of an adaptive chronological solar tracker. The adaptive control algorithm avoids the initial configuration of the chronological solar tracker.

References

1. Fernández JM. Compendio de energía solar: Fotovoltaica, térmica y termoeléctrica. Madrid: Mundi-Prensa; 2008.

2. Lwin L. y Hlaing NK. Microcontroller-Based Two-Axis Solar Tracking System. In: Second International Conference on Computer Research and Development. 2010. pp. 436-440.

3. Pattanasethanon S. The Solar Tracking System by Using Digital Solar Position Sensor. American Journal of Engineering and Applied Sciences. 2010; 3 (4): 678-682.

4. Iqbal A., Abu-Rub H. y Ahmed SM. Adaptive Neuro-fuzzy Inference System Based Maximum Power Point Tracking of a Solar PV Module. In: IEEE International Energy Conference and Exhibition. 2010. pp. 51-56.

5. Alippi C. y Galperti C. An Adaptive System for Optimal Solar Energy Harvesting in Wireless Sensor Network Nodes. IEEE Transactions on Circuits and Systems I. 2008; 55 (6): 1742-1750.

6. Huang YJ, Kuo TC, Chen CY, Chang PC, Wu PC. y Wu TH. The Design and Implementation of a Solar Tracking Generating Power System. Engineering Letters. 2009; 17(4).

7. Rizk J. y Chaiko Y. Solar Tracking System: More Efficient Use of Solar Panels. Wold Academy of Science, Engineering and Technology. 2008; 41: 313-315.

8. Ogata K. Ingeniería de Control Moderna. Madrid: Pearson Prentice Hall; 2003.

Published
2012-12-30
How to Cite
de la Cruz Casaño, C., León Adauto, C., Mandujano Espinal, J., Cáceres Ravichagua, R., & Rojas Malpartida, I. (2012). Adaptive solar tracker based in a programable logic controller for photovoltaic panels. Apuntes De Ciencia & Sociedad, 2(2). https://doi.org/10.18259/acs.2012011
Section
Artículos de investigación