Fuzzy Sliding Mode Control of Vehicle Magnetorheological Semi-Active Air Suspension

In order to reduce vehicle vibration during driving conditions, a fuzzy sliding mode control strategy (FSMC) for semi-active air suspension based on the magnetorheological (MR) damper is proposed. The MR damper used in the semi-active air suspension system was tested and analyzed. Based on the exper...

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Autores principales:	Gang Li, Zhiyong Ruan, Ruiheng Gu, Guoliang Hu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	MR damper air suspension system fuzzy sliding mode control improved hyperbolic tangent model parameter identification Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/12577c5501634abaaa97ac97365851db
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spelling	oai:doaj.org-article:12577c5501634abaaa97ac97365851db2021-11-25T16:41:02ZFuzzy Sliding Mode Control of Vehicle Magnetorheological Semi-Active Air Suspension10.3390/app1122109252076-3417https://doaj.org/article/12577c5501634abaaa97ac97365851db2021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/10925https://doaj.org/toc/2076-3417In order to reduce vehicle vibration during driving conditions, a fuzzy sliding mode control strategy (FSMC) for semi-active air suspension based on the magnetorheological (MR) damper is proposed. The MR damper used in the semi-active air suspension system was tested and analyzed. Based on the experimental data, the genetic algorithm was used to identify the parameters of the improved hyperbolic tangent model, which was derived for the MR damper. At the same time, an adaptive neuro fuzzy inference system (ANFIS) was used to build the reverse model of the MR damper. The model of a quarter vehicle semi-active air suspension system equipped with a MR damper was established. Aiming at the uncertainty of the air suspension system, fuzzy control was used to adjust the boundary layer of the sliding mode control, which can effectively suppress the influence of chattering on the control accuracy and ensure system stability. Taking random road excitation and impact road excitation as the input signal, the simulation analysis of passive air suspension, semi-active air suspension based on SMC and FSMC was carried out, respectively. The results show that the semi-active air suspension based on FSMC has better vibration attenuating performance and ride comfort.Gang LiZhiyong RuanRuiheng GuGuoliang HuMDPI AGarticleMR damperair suspension systemfuzzy sliding mode controlimproved hyperbolic tangent modelparameter identificationTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10925, p 10925 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	MR damper air suspension system fuzzy sliding mode control improved hyperbolic tangent model parameter identification Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	MR damper air suspension system fuzzy sliding mode control improved hyperbolic tangent model parameter identification Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Gang Li Zhiyong Ruan Ruiheng Gu Guoliang Hu Fuzzy Sliding Mode Control of Vehicle Magnetorheological Semi-Active Air Suspension
description	In order to reduce vehicle vibration during driving conditions, a fuzzy sliding mode control strategy (FSMC) for semi-active air suspension based on the magnetorheological (MR) damper is proposed. The MR damper used in the semi-active air suspension system was tested and analyzed. Based on the experimental data, the genetic algorithm was used to identify the parameters of the improved hyperbolic tangent model, which was derived for the MR damper. At the same time, an adaptive neuro fuzzy inference system (ANFIS) was used to build the reverse model of the MR damper. The model of a quarter vehicle semi-active air suspension system equipped with a MR damper was established. Aiming at the uncertainty of the air suspension system, fuzzy control was used to adjust the boundary layer of the sliding mode control, which can effectively suppress the influence of chattering on the control accuracy and ensure system stability. Taking random road excitation and impact road excitation as the input signal, the simulation analysis of passive air suspension, semi-active air suspension based on SMC and FSMC was carried out, respectively. The results show that the semi-active air suspension based on FSMC has better vibration attenuating performance and ride comfort.
format	article
author	Gang Li Zhiyong Ruan Ruiheng Gu Guoliang Hu
author_facet	Gang Li Zhiyong Ruan Ruiheng Gu Guoliang Hu
author_sort	Gang Li
title	Fuzzy Sliding Mode Control of Vehicle Magnetorheological Semi-Active Air Suspension
title_short	Fuzzy Sliding Mode Control of Vehicle Magnetorheological Semi-Active Air Suspension
title_full	Fuzzy Sliding Mode Control of Vehicle Magnetorheological Semi-Active Air Suspension
title_fullStr	Fuzzy Sliding Mode Control of Vehicle Magnetorheological Semi-Active Air Suspension
title_full_unstemmed	Fuzzy Sliding Mode Control of Vehicle Magnetorheological Semi-Active Air Suspension
title_sort	fuzzy sliding mode control of vehicle magnetorheological semi-active air suspension
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/12577c5501634abaaa97ac97365851db
work_keys_str_mv	AT gangli fuzzyslidingmodecontrolofvehiclemagnetorheologicalsemiactiveairsuspension AT zhiyongruan fuzzyslidingmodecontrolofvehiclemagnetorheologicalsemiactiveairsuspension AT ruihenggu fuzzyslidingmodecontrolofvehiclemagnetorheologicalsemiactiveairsuspension AT guolianghu fuzzyslidingmodecontrolofvehiclemagnetorheologicalsemiactiveairsuspension
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Fuzzy Sliding Mode Control of Vehicle Magnetorheological Semi-Active Air Suspension

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