Improved dual-axis tracker using a fuzzy-logic based controller

In this study, an embedded system based on Fuzzy-Logic Control (FLC) method has been developed to improve the accuracy and reactivity of a dual-axis tracking system, in order to increase the output power of panel and minimize the inertia on the dc motor. Linguistic system definitions of FLC are converted into control rules based algorithm and then implemented on PIC Microcontroller 18F4550 to monitor the tracking system along the azimuth axis and the elevation axis during either sunny or cloudy day. Besides using the usual four light dependent resistors LDRs for the detection of the sun position, the instructions of rules saved on PIC are called to monitor precisely the tracking. In the case of cloudy days, an alternative approach based on astronomical equations and data has been implemented in the algorithm instead of sensors of light to track the sun.

[1]  M.N. Uddin,et al.  Fuzzy-logic-controller-based cost-effective four-switch three-phase inverter-fed IPM synchronous motor drive system , 2006, IEEE Transactions on Industry Applications.

[2]  Chia-Yen Lee,et al.  Sun Tracking Systems: A Review , 2009, Sensors.

[3]  P. C. Sen,et al.  Comparative study of proportional-integral, sliding mode and fuzzy logic controllers for power converters , 1995, IAS '95. Conference Record of the 1995 IEEE Industry Applications Conference Thirtieth IAS Annual Meeting.

[4]  Antonio Luque,et al.  Next generation photovoltaics : high efficiency through full spectrum utilization , 2003 .

[5]  I. Marongiu,et al.  Outdoor characterization of a Cassegrain-type concentrator photovoltaic receiver , 2013, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society.

[6]  I. Luque-Heredia,et al.  A Sun Tracking Error Monitor for Photovoltaic Concentrators , 2006, 2006 IEEE 4th World Conference on Photovoltaic Energy Conference.

[7]  Uli Lemmer,et al.  A simple tracking system to monitor solar PV panels , 2014 .

[8]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[9]  Nikhil Patel,et al.  DESIGN OF AN AUTOMATIC SOLAR TRACKING SYSTEM BASED ON MICROCONTROLLER , 2014 .

[10]  Kok-Keong Chong,et al.  Open-loop azimuth-elevation sun-tracking system using on-axis general sun-tracking formula for achieving tracking accuracy of below 1 mrad , 2010, 2010 35th IEEE Photovoltaic Specialists Conference.

[11]  S. Kalogirou.  Solar Energy Engineering: Processes and Systems , 2009 .

[12]  Sung-Mo Kang,et al.  Tracking control of high‐concentration photovoltaic systems for minimizing power losses , 2014 .