Luis F. Cerecero‐Natale
Papers
1
Total Citations
11
H-Index
1
About
Luis F. Cerecero-Natale is a researcher focused on the intersection of renewable energy systems and advanced control theory, with particular expertise in wind turbine dynamics. His work centers on developing mathematical models and intelligent control strategies to optimize wind energy capture and operational stability. His most cited paper, "Mathematical modeling and fuzzy proportional–integral–derivative scheme to control the yaw motion of a wind turbine" (2020, 11 citations), makes a significant contribution by applying the Euler–Lagrange formulation to derive dynamic equations for yaw motion—a critical mechanism for aligning turbines with wind direction. By integrating fuzzy logic with PID control, Cerecero-Natale’s approach enhances the precision and adaptability of yaw regulation, directly improving turbine efficiency and reducing mechanical stress. This work demonstrates his ability to bridge theoretical modeling with practical control solutions, offering a robust framework for next-generation wind energy systems. His research holds clear relevance for engineers and scientists working on sustainable power generation and smart grid technologies, positioning him as an emerging voice in the optimization of renewable energy infrastructure.
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Top Papers
- 1