CFP last date
20 December 2024
Reseach Article

Fuzzy Logic-based Dual Axis Solar Tracking System

by Dola Sinha, Nirmal Baran Hui
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 155 - Number 12
Year of Publication: 2016
Authors: Dola Sinha, Nirmal Baran Hui
10.5120/ijca2016912496

Dola Sinha, Nirmal Baran Hui . Fuzzy Logic-based Dual Axis Solar Tracking System. International Journal of Computer Applications. 155, 12 ( Dec 2016), 13-18. DOI=10.5120/ijca2016912496

@article{ 10.5120/ijca2016912496,
author = { Dola Sinha, Nirmal Baran Hui },
title = { Fuzzy Logic-based Dual Axis Solar Tracking System },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2016 },
volume = { 155 },
number = { 12 },
month = { Dec },
year = { 2016 },
issn = { 0975-8887 },
pages = { 13-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume155/number12/26655-2016912496/ },
doi = { 10.5120/ijca2016912496 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:01:03.606906+05:30
%A Dola Sinha
%A Nirmal Baran Hui
%T Fuzzy Logic-based Dual Axis Solar Tracking System
%J International Journal of Computer Applications
%@ 0975-8887
%V 155
%N 12
%P 13-18
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Increment of efficiency of solar power system using Dual Axis Sun Tracker (DAST) through PID controller and Light Detecting Resistors (LDR) has been attempted in this paper. The model is simulated in the MATLAB/SIMULINK environment initially. Later in a hardware model is fabricated with the help of four sensors placed in the four sides of the panel to sense the position of the sun and two DC series motors to rotate the solar panel. To improve this hardware system, computer interfacing is made so that the solar panel can move smoothly in both the direction i.e., East to West and North to South. PID controller is designed in MATLAB/SIMULINK. To enhance its efficiency the gains of the PID controller are tuned using the Fuzzy logic controller. This simulation model is interfaced with the hardware model through an Audrino Mega board. The results are approaching the feasible limit for real implementation and can be applied for large solar power system.

References
  1. Foley. G, Photovoltaic application in rural area of developing world, Tech Rep., World Bank, Newyork,1995.
  2. Daut. I, Irwanto. M, Irwan. M.Y, Gomesh. N, Ahmed. S. N., Three Level single phase photovoltaic and wind power hybrid inverter, Energy Procedia, 18, 1307-1316, 2012.
  3. Lopez. O, Freijedo. D. F, Yepes. G. A, Fernandez-comessa P, Malvar. J, Teodorescu.R, and Doval-Gandoy J, Eliminating ground current in a transformer less photovoltaic application, IEEE Trans. Energy conversion, 25(1), 140-147, 2010.
  4. Yakup. A.M. and Malik.Q.A, Optimum tilt angle and orientation for solar collector in Brunei Darussalam, Renewable Energy, 24, 223-234, 2001.
  5. 12. Saravanan C., Panneerselvam M.A., Christopher I.W. A novel low cost automatic solar tracking system. Int. J. Comput. Appl. 31, 62-67, 2011.
  6. Ponniran A., Hashim A., Joret A. A design of low power single axis solar tracking system regardless of motor speed. Int. J. Integr. Eng., 3, 5-9, 2011.
  7. Chong K.K., Wong C.W. General formula for one-axis sun tracking system and its application in improving tracking accuracy of solar collector, Solar Energy, 83, 298-305, 2009.
  8. Ponniran A., Hashim A., Munir H.A. A Design of Single Axis Sun Tracking System. Proceedings of the 5th International Power Engineering and Optimization Conference; Selangor, Malaysia. 6–7 June 2011; pp. 107–110.
  9. Barsoum N. Fabrication of dual-axis solar tracking controller project. Intel. Control Autom, 2, 57–68, 2011.
  10. Barsoum N., Vasant P. Simplified solar tracking prototype. Global J. Technol. Optimiz, 1, 38-45, 2010.
  11. Bajpai P., Kumar S. Design, Development and Performance test of an Automatic Two-Axis Solar Tracker System. IEEE India Conf., Hyderabad, India. 2011; pp. 1–6.
  12. Dasgupta S., Suwandi F.W., Sahoo S.K., Panda S.K. Dual Axis Sun Tracking with PV Cell as the Sensor, Utilizing Hybrid Electrical Characteristics of the Cell to Determine Insulation. IEEE Int. Conf. on Sustainable Energy Technologies; Sri Lanka. 2010; pp. 1–5.
  13. Yan Z., Jiaxing Z. Application of Fuzzy Logic Control Approach in a Microcontroller-Based Sun Tracking System. Proc. of WASE Int. Conf. on Information Engineering; Beidaihe, China. 14–15 August 2010; pp. 161–164.
  14. Ozuna G., Anaya C., Figueroa D., Pitalua N. Solar Tracker of Two Degrees of Freedom for Photovoltaic Solar Cell Using Fuzzy Logic. Proc. of the World Congress on Engineering; London, UK. 6– 8 July 2011; pp. 1410–1413.
  15. Li G., Shi X., Fu C., Zhou G. Design and Implementation of a Novel MPPT Controller Based on Sun Tracking Technology. Proc. of the 11th Int. Conf. on Electrical Machines and Systems; Wuhan, China. 17–20 October 2008; pp. 2611–2615.
  16. Hanieh A.A. Solar Photovoltaic Panels Tracking System. Proc. of the 6th WSEAS Int. Conf. on Dynamical Systems and Control; Sousse, Tunisia. 3–6 May 2010; pp. 30–37.
  17. Serhan M., El-Chaar L. Two Axis Sun Tracking Systems: Comparison with a Fixed System. Int. Conf. on Renewable Energies and Power Quality; Spain. 23–25 March 2010.
  18. Sharma. P, Malhotri Nitesh, solar tracking system using microcontroller, Proc. of Int. Conf. on Non-Conventional Energy (ICONCE 2014), pp.77-79 2014.
  19. Ulgen Koray, Optimum tilt angle for solar collectors. Energy sources, Taylor and Francis, 28, 1171-1180, 2006.
  20. Semma. P.R, and Imamura. S.M, Sun tracking controller for multi kW photovoltaic concentrator system, 3rd Int. Photovoltaic Sol Energy Conf, Cannes, France,1980, 27-31.
  21. Ozcelik. S, Prakash. H, Challoo. R, Two axis solar tracker analysis and control for maximum power generation. Procedia Comp. Science, Elsevier, 6, 457-462, 2001.
  22. Canada. J et al., Design of a sun tracker for automatic measurement of spectral irradiance and construction of an irradiance database in the 330-1100 nm range, Renewable energy, 32, 253-268, 2007.
  23. Matsuo. H, Shigemizu. T, Kurokawa. F. and Watanabe. N, Characteristics of the multiple-input DC-DC converter, in proc. IEEE PESC, 1993, pp. 115-120.
  24. Koutroulis Eftichios et al., A new Technique for Tracking the Global Maximum Power Point of PV Arrays Operating Under Partial-Shading Conditions. IEEE Journal of Photovoltaic, 2(2), 184-190, 2012.
  25. Thulasiyammal. C and Sutha. S, A comparative study of maximum power point tracking (MPPT) of a solar powered UPS using DC DC boost converter, International journal of power control signal and computation, 3(1), 110-112, 2012.
  26. Shicheng Zheng, Liu Wei, Research and implementation of photovoltaic charging system with maximum power point tracking, IEEE, 2008.
  27. Lohner. A, Meyer. T, and Nagal. A, A new panel-integratable inverter concept for grid connected photovoltaic systems, IEEE Int. Symp. Indl Electronics, 1996, pp. 827–831.
  28. Taib. S, Sutanto. Y, and Razak. A.R.A, Development of simple PWM inverter using photovoltaic cells, Student conference on research and development processing, 2002.
  29. Selamogullari U.S, Torrey. D.A., Salon. S, A system approach for a stand-alone residential full cell paver inverter design, IEEE Trans. Energy conversion, 25(3), 741-749, 2010.
  30. Oldenkamp H, De Jong. I, Baltus C., Baltus. S, Verhoeven, and Elstgeest. S, Reliability and accelerated life tests of the ac module mounted OKE4 inverter, in Proc. 25th IEEE Photovoltaic System Conf., 1996, pp.1339–1342.
  31. Meinhardt. M. et al., Miniaturized low profile module integrated converter for photovoltaic applications with integrated magnetic components, in Proc. IEEE Applications Power Electron. Conf. Expo., 1999, pp. 305–311.
  32. Calais. M, Myrzik .J, Spooner. T,, Agelidis. V, Inverters for single-phase grid connected photovoltaic systems—an overview, IEEE Power Elect. Specialists Conf., 2002, 1995–2000.
Index Terms

Computer Science
Information Sciences

Keywords

Solar tracking system DAST PID controller Fuzzy logic controller LDR