Hybrid fuzzy skyhook surface control using multi-objective micro-genetic algorithm for semi-active vehicle suspension system ride comfort stability analysis

Yi Chen; Zhong-Lai  Wang; Jing Qui; Hong-Zhong  Huang

doi:10.1115/1.4006220

Hybrid fuzzy skyhook surface control using multi-objective micro-genetic algorithm for semi-active vehicle suspension system ride comfort stability analysis

Yi Chen, Zhong-Lai Wang, Jing Qui, Hong-Zhong Huang

Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

A polynomial function supervising fuzzy sliding mode control (PSFaSMC), which embedded with skyhook surface method, is proposed for the ride comfort of a vehicle semi-active suspension. The multi-objective microgenetic algorithm (MOµGA) has been utilized to determine the PSFaSMC controller’s parameter alignment in a training process with three ride comfort objectives for the vehicle semi-active suspension, which is called the “offline” step.

Original language	English
Pages (from-to)	041003
Number of pages	14
Journal	Journal of Dynamic Systems, Measurement, and Control
Volume	134
Issue number	4
DOIs	https://doi.org/10.1115/1.4006220
Publication status	Published - May 2012

Keywords

dynamic analysis
suspension systems
micro genetic algorithm

Documents and Links

10.1115/1.4006220

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title = "Hybrid fuzzy skyhook surface control using multi-objective micro-genetic algorithm for semi-active vehicle suspension system ride comfort stability analysis",

abstract = "A polynomial function supervising fuzzy sliding mode control (PSFaSMC), which embedded with skyhook surface method, is proposed for the ride comfort of a vehicle semi-active suspension. The multi-objective microgenetic algorithm (MOµGA) has been utilized to determine the PSFaSMC controller{\textquoteright}s parameter alignment in a training process with three ride comfort objectives for the vehicle semi-active suspension, which is called the “offline” step.",

keywords = "dynamic analysis, suspension systems, micro genetic algorithm",

author = "Yi Chen and Zhong-Lai Wang and Jing Qui and Hong-Zhong Huang",

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Hybrid fuzzy skyhook surface control using multi-objective micro-genetic algorithm for semi-active vehicle suspension system ride comfort stability analysis. / Chen, Yi; Wang, Zhong-Lai ; Qui, Jing; Huang, Hong-Zhong .

In: Journal of Dynamic Systems, Measurement, and Control , Vol. 134, No. 4, 05.2012, p. 041003.

Research output: Contribution to journal › Article › peer-review

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T1 - Hybrid fuzzy skyhook surface control using multi-objective micro-genetic algorithm for semi-active vehicle suspension system ride comfort stability analysis

AU - Chen, Yi

AU - Wang, Zhong-Lai

AU - Qui, Jing

AU - Huang, Hong-Zhong

N1 - Publisher version not permitted for use in repositories js 03.05.13

PY - 2012/5

Y1 - 2012/5

N2 - A polynomial function supervising fuzzy sliding mode control (PSFaSMC), which embedded with skyhook surface method, is proposed for the ride comfort of a vehicle semi-active suspension. The multi-objective microgenetic algorithm (MOµGA) has been utilized to determine the PSFaSMC controller’s parameter alignment in a training process with three ride comfort objectives for the vehicle semi-active suspension, which is called the “offline” step.

AB - A polynomial function supervising fuzzy sliding mode control (PSFaSMC), which embedded with skyhook surface method, is proposed for the ride comfort of a vehicle semi-active suspension. The multi-objective microgenetic algorithm (MOµGA) has been utilized to determine the PSFaSMC controller’s parameter alignment in a training process with three ride comfort objectives for the vehicle semi-active suspension, which is called the “offline” step.

KW - dynamic analysis

KW - suspension systems

KW - micro genetic algorithm

U2 - 10.1115/1.4006220

DO - 10.1115/1.4006220

M3 - Article

VL - 134

SP - 041003

JO - Journal of Dynamic Systems, Measurement, and Control

JF - Journal of Dynamic Systems, Measurement, and Control

SN - 0022-0434

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