Paper
29 July 2004 Reducing aerodynamic vibration with piezoelectric actuators: a genetic algorithm optimization
Zhenning Hu, Mark Jakiela, Dale M. Pitt, Jay K. Burnham
Author Affiliations +
Abstract
Modern high performance aircraft fly at high speeds and high angles of attack. This can result in "buffet" aerodynamics, an unsteady turbulent flow that causes vibrations of the wings, tails, and body of the aircraft. This can result in decreased performance and ride quality, and fatigue failures. We are experimenting with controlling these vibrations by using piezoceramic actuators attached to the inner and outer skin of the aircraft. In this project, a tail or wing is investigated. A "generic" tail finite element model is studied in which individual actuators are assumed to exactly cover individual finite elements. Various optimizations of the orientations and power consumed by these actuators are then performed. Real coded genetic algorithms are used to perform the optimizations and a design space approximation technique is used to minimize costly finite element runs. An important result is the identification of a power consumption threshold for the entire system. Below the threshold, vibration control performance of optimized systems decreases with decreasing values of power supplied to the entire system.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhenning Hu, Mark Jakiela, Dale M. Pitt, and Jay K. Burnham "Reducing aerodynamic vibration with piezoelectric actuators: a genetic algorithm optimization", Proc. SPIE 5388, Smart Structures and Materials 2004: Industrial and Commercial Applications of Smart Structures Technologies, (29 July 2004); https://doi.org/10.1117/12.547299
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Cited by 4 scholarly publications.
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KEYWORDS
Actuators

Neodymium

Genetic algorithms

Optimization (mathematics)

Finite element methods

Skin

Genetics

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