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Advisor(s)
Abstract(s)
A real-time optimization strategy can provide any system with a considerable boost in performance on the fly, which in real-world applications can be translated to lower energy consumption or higher efficiency. This study investigates the particular case of using real-time optimization to improve wing aerodynamic performance with a dynamically activated deflectable leading edge. Its activation aims to minimize drag and maximize lift and is governed by real-time and gradient-based optimization. An extension to a classic method is suggested to enhance gradient estimation accuracy. Experimental data are obtained at a Reynolds number of
with the wing fixed at five positions. For each of these positions, optimal leading-edge deflections are found. The results indicate that deflecting the leading edge has a negligible impact on drag and lift before the stall onset. However, the reduction in the pitching moment cannot be ignored. When the wing is experiencing a proper stall, the movable leading edge yields remarkable enhancements, with the lift being approximately raised by 45% together with a substantial increase in the critical angle of attack. The findings highlight the potential of real-time optimization in experimental aerodynamic studies, reinvigorating its application in improving aircraft performance.
Description
Keywords
Control equipment Computer software Aircraft Transducers Optimization algorithms Aerodynamics Flow control Fluid drag Energy consumption Regression analysis
Citation
E. A. R. Camacho; M. M. da Silva; A. R. R. Silva; F. D. Marques; Real-time optimization of wing drag and lift performance using a movable leading edge, Physics of Fluids 36, 016128 (2024), DOI: 10.1063/5.0185716
Publisher
AIP Publishing