Solar Tracking System Experimental Verification Based on GPS and Vision Sensor Fusion
Jeongjae Yoo1, Yeonsik Kang1, Bongsob Song2
, and Jinseop Song3
1.The Department of Automotive Engineering, Kookmin University, Seoul, Korea
2.The Department of Mechanical Engineering, Ajou University, Korea
3.Department of System Eng., Korea Institute of Machinery and Materials, Korea
2.The Department of Mechanical Engineering, Ajou University, Korea
3.Department of System Eng., Korea Institute of Machinery and Materials, Korea
Abstract—It is well known that solar tracking systems can increase solar panel efficiency by approximately 30 percent. However, because these systems require precise control, it is essential to develop tracking capabilities. In this paper, a solar tracking system using the fusion of astronomical estimates from GPS and vision-sensor image process outcomes is proposed. Using image processing outcomes, a decision-making process is also proposed to distinguish whether or not the current weather condition is sunny. Based on the outcomes, the solar tracking system determines whether to use image processing outcomes or astronomical estimates. The developed system is evaluated through experiments and the results are presented.
Index Terms—alternative energy, solar panel, solar tracking, vision-based control
Cite: Jeongjae Yoo, Yeonsik Kang, Bongsob Song, and Jinseop Song, "Solar Tracking System Experimental Verification Based on GPS and Vision Sensor Fusion," Jounal of Automation and Control Engineering, Vol. 2, No. 4, pp. 417-421, December, 2014. doi: 10.12720/joace.2.4.417-421
Index Terms—alternative energy, solar panel, solar tracking, vision-based control
Cite: Jeongjae Yoo, Yeonsik Kang, Bongsob Song, and Jinseop Song, "Solar Tracking System Experimental Verification Based on GPS and Vision Sensor Fusion," Jounal of Automation and Control Engineering, Vol. 2, No. 4, pp. 417-421, December, 2014. doi: 10.12720/joace.2.4.417-421