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Proceedings Paper

Fuzzy skyhook control of semi-active suspensions using a genetic algorithm
Author(s): Taegeun Jung; Jeongmok Cho; Nam Huh; Tae Whee Joung; Sujin Kim; Joongseon Joh
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Paper Abstract

Recently, there exists an abundance of research on the semi-active suspension system. The skyhook control is commonly known to control semi-active suspension system because it has practicality. In this paper, the fuzzy logic control based on heuristic knowledge is combined with the skyhook control. And it simulated in a quarter car model. The acceleration value of the sprung mass was reflected in fuzzy inference to reduce the vertical acceleration RMS value of the sprung mass. Then scale factors and membership functions that determine performance efficiency of fuzzy skyhook controller are tuned by a genetic algorithm known as a kind of optimization method.

Paper Details

Date Published: 16 March 2006
PDF: 11 pages
Proc. SPIE 6169, Smart Structures and Materials 2006: Damping and Isolation, 61690Z (16 March 2006); doi: 10.1117/12.658371
Show Author Affiliations
Taegeun Jung, Changwon National Univ. (South Korea)
Jeongmok Cho, Changwon National Univ. (South Korea)
Nam Huh, WIA Co. Ltd. (South Korea)
Tae Whee Joung, Changwon National Univ. (South Korea)
Sujin Kim, LG Electronics Alabama Inc. (United States)
Joongseon Joh, Changwon National Univ. (South Korea)


Published in SPIE Proceedings Vol. 6169:
Smart Structures and Materials 2006: Damping and Isolation
William W. Clark; Mehdi Ahmadian; Arnold Lumsdaine, Editor(s)

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