Fuzzy adaptive tracking control for nonlinear suspension systems based on a bio-inspired reference model

Jingying Li; Zhengchao Li; Xingjian Jing; Xianlin Huang

doi:10.1109/WCICA.2018.8630382

Fuzzy adaptive tracking control for nonlinear suspension systems based on a bio-inspired reference model

Jingying Li
, Zhengchao Li
, Xingjian Jing^*
, Xianlin Huang

^*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

Abstract

This paper deals with the bio-inspired reference model based fuzzy adaptive tracking control problems for active suspension systems. Particularly, a nonlinear damping is designed to improve nonlinear damping characteristics of the original bio-inspired reference model. With the beneficial nonlinear stiffness and improved nonlinear damping of the bio-inspired reference model, the proposed fuzzy adaptive controller can effectively suppress vibration of the suspension system with less actuator force, hence both improved ride comfort and energy efficiency are achieved. Finally, a quarter-vehicle active suspension system with considering payload uncertainties is provided for evaluating the validity and superiority of the bio-inspired model based fuzzy adaptive tracking control approach proposed in this paper.

Original language	English
Title of host publication	2018 13th World Congress on Intelligent Control and Automation (WCICA)
Publisher	IEEE
Pages	119-124
Number of pages	6
ISBN (Electronic)	978-1-5386-7346-1
DOIs	https://doi.org/10.1109/WCICA.2018.8630382
Publication status	Published - Jul 2018
Externally published	Yes
Event	13th World Congress on Intelligent Control and Automation (WCICA) - Changsha Duration: 4 Jul 2018 → 8 Jul 2018

Publication series

Name	Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
Volume	2018-July

Conference

Conference	13th World Congress on Intelligent Control and Automation (WCICA)
City	Changsha
Period	4/07/18 → 8/07/18

Funding

This work was supported by a General Research Fund project (15206717) of Hong Kong RGC. *Corresponding author.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Research Keywords

FREQUENCY-DOMAIN ANALYSIS
VIBRATION
VEHICLE

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10.1109/WCICA.2018.8630382

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Li, J., Li, Z., Jing, X., & Huang, X. (2018). Fuzzy adaptive tracking control for nonlinear suspension systems based on a bio-inspired reference model. In 2018 13th World Congress on Intelligent Control and Automation (WCICA) (pp. 119-124). Article 8630382 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA); Vol. 2018-July). IEEE. https://doi.org/10.1109/WCICA.2018.8630382

@inproceedings{f6c53e2bc7214e629e55379fe8bf7bad,

title = "Fuzzy adaptive tracking control for nonlinear suspension systems based on a bio-inspired reference model",

abstract = "This paper deals with the bio-inspired reference model based fuzzy adaptive tracking control problems for active suspension systems. Particularly, a nonlinear damping is designed to improve nonlinear damping characteristics of the original bio-inspired reference model. With the beneficial nonlinear stiffness and improved nonlinear damping of the bio-inspired reference model, the proposed fuzzy adaptive controller can effectively suppress vibration of the suspension system with less actuator force, hence both improved ride comfort and energy efficiency are achieved. Finally, a quarter-vehicle active suspension system with considering payload uncertainties is provided for evaluating the validity and superiority of the bio-inspired model based fuzzy adaptive tracking control approach proposed in this paper.",

keywords = "FREQUENCY-DOMAIN ANALYSIS, VIBRATION, VEHICLE",

author = "Jingying Li and Zhengchao Li and Xingjian Jing and Xianlin Huang",

year = "2018",

month = jul,

doi = "10.1109/WCICA.2018.8630382",

language = "English",

series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",

publisher = "IEEE",

pages = "119--124",

booktitle = "2018 13th World Congress on Intelligent Control and Automation (WCICA)",

address = "United States",

note = "13th World Congress on Intelligent Control and Automation (WCICA) ; Conference date: 04-07-2018 Through 08-07-2018",

}

Li, J, Li, Z, Jing, X & Huang, X 2018, Fuzzy adaptive tracking control for nonlinear suspension systems based on a bio-inspired reference model. in 2018 13th World Congress on Intelligent Control and Automation (WCICA)., 8630382, Proceedings of the World Congress on Intelligent Control and Automation (WCICA), vol. 2018-July, IEEE, pp. 119-124, 13th World Congress on Intelligent Control and Automation (WCICA), Changsha, 4/07/18. https://doi.org/10.1109/WCICA.2018.8630382

Fuzzy adaptive tracking control for nonlinear suspension systems based on a bio-inspired reference model. / Li, Jingying; Li, Zhengchao; Jing, Xingjian et al.
2018 13th World Congress on Intelligent Control and Automation (WCICA). IEEE, 2018. p. 119-124 8630382 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA); Vol. 2018-July).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Fuzzy adaptive tracking control for nonlinear suspension systems based on a bio-inspired reference model

AU - Li, Jingying

AU - Li, Zhengchao

AU - Jing, Xingjian

AU - Huang, Xianlin

PY - 2018/7

Y1 - 2018/7

N2 - This paper deals with the bio-inspired reference model based fuzzy adaptive tracking control problems for active suspension systems. Particularly, a nonlinear damping is designed to improve nonlinear damping characteristics of the original bio-inspired reference model. With the beneficial nonlinear stiffness and improved nonlinear damping of the bio-inspired reference model, the proposed fuzzy adaptive controller can effectively suppress vibration of the suspension system with less actuator force, hence both improved ride comfort and energy efficiency are achieved. Finally, a quarter-vehicle active suspension system with considering payload uncertainties is provided for evaluating the validity and superiority of the bio-inspired model based fuzzy adaptive tracking control approach proposed in this paper.

AB - This paper deals with the bio-inspired reference model based fuzzy adaptive tracking control problems for active suspension systems. Particularly, a nonlinear damping is designed to improve nonlinear damping characteristics of the original bio-inspired reference model. With the beneficial nonlinear stiffness and improved nonlinear damping of the bio-inspired reference model, the proposed fuzzy adaptive controller can effectively suppress vibration of the suspension system with less actuator force, hence both improved ride comfort and energy efficiency are achieved. Finally, a quarter-vehicle active suspension system with considering payload uncertainties is provided for evaluating the validity and superiority of the bio-inspired model based fuzzy adaptive tracking control approach proposed in this paper.

KW - FREQUENCY-DOMAIN ANALYSIS

KW - VIBRATION

KW - VEHICLE

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DO - 10.1109/WCICA.2018.8630382

M3 - RGC 32 - Refereed conference paper (with host publication)

T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

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BT - 2018 13th World Congress on Intelligent Control and Automation (WCICA)

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ER -

Fuzzy adaptive tracking control for nonlinear suspension systems based on a bio-inspired reference model

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