Fuzzy skyhook control of semi-active suspensions using a genetic algorithm

Taegeun Jung; Jeongmok Cho; Nam Huh; Tae Whee Joung; Sujin Kim; Joongseon Joh

doi:10.1117/12.658371

16 March 2006 Fuzzy skyhook control of semi-active suspensions using a genetic algorithm

Taegeun Jung, Jeongmok Cho, Nam Huh, Tae Whee Joung, Sujin Kim, Joongseon Joh

Proceedings Volume 6169, Smart Structures and Materials 2006: Damping and Isolation; 61690Z (2006) https://doi.org/10.1117/12.658371
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2006, San Diego, California, United States

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.

Citation Download Citation

Taegeun Jung, Jeongmok Cho, Nam Huh, Tae Whee Joung, Sujin Kim, and Joongseon Joh "Fuzzy skyhook control of semi-active suspensions using a genetic algorithm", Proc. SPIE 6169, Smart Structures and Materials 2006: Damping and Isolation, 61690Z (16 March 2006); https://doi.org/10.1117/12.658371

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