An Improved Sunflower-Inspired Solar Tracking Strategy for Maximizing Photovoltaic Panel Power Generation
Rexel U. Sabran1, Arnel C. Fajardo2 

1Rexel U. Sabran, Graduate School of Technological Institute of the Philippines-Quezon City, Philippines and Computer Engineering, University of San Agustin, Philippines.
2Arnel C. Fajardo, School of Engineering and Information Technology, Manuel L. Quezon University, Philippines.

Manuscript received on 13 March 2019 | Revised Manuscript received on 18 March 2019 | Manuscript published on 30 July 2019 | PP: 1756-1762 | Volume-8 Issue-2, July 2019 | Retrieval Number: B1013078219/19©BEIESP | DOI: 10.35940/ijrte.B1013.078219
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: A previous study proposed a nature-inspired tracking strategy that mimics the solar tracking behavior of sunflowers driven by the light stimulus and the circadian clock. The approach delivered a good tracking performance with an average tracking error of 0.727° under clear, partly cloudy, and cloudy conditions. However, it incurred high tracking errors caused by false detection brought about by the abrupt changes in the amount of solar radiation during realignment. In addition, the scheme also maintained high stepper motor current consumption due to the use of a fixed stepping resolution. To address these issues, the previous tracking routine was modified to direct the search for the sun’s position to a range of calculated altitude angles where a fine-tuning process will be performed using current measurements and the adoption of a variable stepping resolution during panel reorientation. Experiments were conducted to measure the performance of the modifications in terms of tracking error, power generation, and stepper motor current consumption. A comparison of the performances between the previous and the modified approaches was done to assess the impact of the proposed improvement. The result of the comparison showed that the modifications significantly improved the overall tracking performance of the strategy.
Index Terms: Biomimicry, Solar Tracking, Tracking Strategy, Maximizing PV Power Generation.

Scope of the Article: Nature Inspired Computing