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Genetic Algorithm Approaches for Actuator PlacementThis research investigated genetic algorithm approaches for smart actuator placement to provide aircraft maneuverability without requiring hinged flaps or other control surfaces. The effort supported goals of the Multidisciplinary Design Optimization focus efforts in NASA's Aircraft au program. This work helped to properly identify various aspects of the genetic algorithm operators and parameters that allow for placement of discrete control actuators/effectors. An improved problem definition, including better definition of the objective function and constraints, resulted from this research effort. The work conducted for this research used a geometrically simple wing model; however, an increasing number of potential actuator placement locations were incorporated to illustrate the ability of the GA to determine promising actuator placement arrangements. This effort's major result is a useful genetic algorithm-based approach to assist in the discrete actuator/effector placement problem.
Document ID
20000103874
Acquisition Source
Langley Research Center
Document Type
Other
Authors
Crossley, William A. (Purdue Univ. West Lafayette, IN United States)
Date Acquired
September 7, 2013
Publication Date
January 1, 2000
Subject Category
Aircraft Design, Testing And Performance
Funding Number(s)
CONTRACT_GRANT: NAG1-2119
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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