OPTIMIZING SOLAR ENERGY WITH SMART CONTROL: A COMPARATIVE STUDY OF FIXED, FUZZY, AND ANFIS SYSTEMS

Author(s): Uebari, B. 1; Nwiwure, D.B. E; Isioto N. N.; Nwinuka, B; Boona, S.
Page: 1 - 13
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Published Journal: The Creek Journal of Applied Sciences and Computing (CJASC)
Publisher: The Creek Journals
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Keywords: Fuzzy logic controller, ANFIS controller, MATLAB, Simulink

Abstract:

Solar energy has emerged as a cornerstone of renewable energy, with the potential to address critical energy challenges, especially in developing nations like Nigeria. The efficiency of photovoltaic (PV) systems hinges significantly on the orientation of solar panels to maximize solar irradiance capture. This paper explores advanced solar tracking technologies, focusing on the comparative performance of fixed-axis, fuzzy logic, and Adaptive Neural-Fuzzy Inference System (ANFIS) controllers. Through rigorous modeling and simulation using MATLAB/Simulink, the study examines key performance parameters such as rise time, settling time, peak response, and steady-state error under varying solar conditions. The findings reveal that while fuzzy logic controllers provide a significant improvement over fixed-axis systems, ANFIS controllers outperform both, achieving superior tracking precision, reduced energy loss, and enhanced power output. These advancements underscore the transformative potential of intelligent solar tracking systems in optimizing renewable energy utilization. The results validate the effectiveness of intelligent controllers in improving energy capture and set the stage for further innovation in solar technology to meet global energy demands sustainably.

Citations:

Uebari, B. 1; Nwiwure, D.B. E; Isioto N. N.; Nwinuka, B; Boona, S. "OPTIMIZING SOLAR ENERGY WITH SMART CONTROL: A COMPARATIVE STUDY OF FIXED, FUZZY, AND ANFIS SYSTEMS" The Creek Journal of Applied Sciences and Computing (CJASC) Volume 1 Issue 1 Oct, 2025