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Proceedings Paper

Use of genetic algorithms for optimizing vibration actuator placement for minimizing sound transmission into enclosed spaces
Author(s): Marc T. Simpson; Colin H. Hansen
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Paper Abstract

Active noise control has shown much promise in recent years as a viable and practical technique for attenuating low frequency sound levels in complex enclosures such as motor vehicles and propeller aircraft fuselages. However, the optimal placement of actuators and sensors to reduce the global interior noise levels still remains a significant design problem. In the absence of a direct analytical method for determining the optimal actuator location configurations, alternative methods have been sought, all too often defaulting to a partial or complete search of possible configurations until adequate system performance is achieved. As the search space becomes larger, difficulty arises due to an increasing number of potential location configurations, often far exceeding practical search limitations. The possibility of searching only a small portion of the total search space to find an overall optimum solution therefore becomes increasingly desirable. One method displaying significant potential in achieving this task is the genetic algorithm. Here, it is specifically developed for application to the potentially large problem of optimizing the locations of up to four vibration control actuators on a stiffened cylinder with floor structure (representative of an aircraft fuselage) to actively control harmonic interior sound levels. For the purposes of demonstration, the primary excitation was simulated by up to ten point forces acting on the cylinder boundary. The development of the genetic algorithm for optimal search performance was undertaken using a generalized multi-modal technique. The performance characteristics of various genetic algorithm operators were tested, and the optimal configuration was then applied to the stiffened cylinder with integral floor model with good results.

Paper Details

Date Published: 1 May 1996
PDF: 13 pages
Proc. SPIE 2717, Smart Structures and Materials 1996: Smart Structures and Integrated Systems, (1 May 1996); doi: 10.1117/12.239044
Show Author Affiliations
Marc T. Simpson, Univ. of Adelaide (Australia)
Colin H. Hansen, Univ. of Adelaide (Australia)


Published in SPIE Proceedings Vol. 2717:
Smart Structures and Materials 1996: Smart Structures and Integrated Systems
Inderjit Chopra, Editor(s)

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