An interval type-2 fuzzy logic controller for quarter vehicle active suspensions

Jiangtao Cao; Honghai Liu; P. Li; David J. Brown

doi:10.1243/09544070JAUTO767

An interval type-2 fuzzy logic controller for quarter vehicle active suspensions

Jiangtao Cao, Honghai Liu, P. Li, David J. Brown

School of Creative Technologies

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

Abstract

A novel adaptive fuzzy logic controller (AFC) based on an interval type-2 fuzzy controller is proposed for vehicle non-linear active suspension systems. The adaptive strategy elicited from the least-mean-squares optimal algorithm is adopted to self-tune lower bounds and upper bounds of interval type-2 fuzzy membership functions (IMF2s). The IMF2s are utilized in the AFC design to deal with not only non-linearity and uncertainty caused by irregular road inputs and immeasurable disturbance, but also the potential uncertainty of experts knowledge and experience. A case study based on a quarter-vehicle active suspension model has demonstrated that the proposed type-2 controller significantly outperforms conventional fuzzy controllers of an active suspension and a passive suspension.

Original language	English
Pages (from-to)	1361-1373
Number of pages	13
Journal	Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Volume	222
Issue number	8
DOIs	https://doi.org/10.1243/09544070JAUTO767
Publication status	Published - Aug 2008

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title = "An interval type-2 fuzzy logic controller for quarter vehicle active suspensions",

abstract = "A novel adaptive fuzzy logic controller (AFC) based on an interval type-2 fuzzy controller is proposed for vehicle non-linear active suspension systems. The adaptive strategy elicited from the least-mean-squares optimal algorithm is adopted to self-tune lower bounds and upper bounds of interval type-2 fuzzy membership functions (IMF2s). The IMF2s are utilized in the AFC design to deal with not only non-linearity and uncertainty caused by irregular road inputs and immeasurable disturbance, but also the potential uncertainty of experts knowledge and experience. A case study based on a quarter-vehicle active suspension model has demonstrated that the proposed type-2 controller significantly outperforms conventional fuzzy controllers of an active suspension and a passive suspension.",

author = "Jiangtao Cao and Honghai Liu and P. Li and Brown, {David J.}",

note = "Institution: University of Portsmouth.",

year = "2008",

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doi = "10.1243/09544070JAUTO767",

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T1 - An interval type-2 fuzzy logic controller for quarter vehicle active suspensions

AU - Cao, Jiangtao

AU - Liu, Honghai

AU - Li, P.

AU - Brown, David J.

N1 - Institution: University of Portsmouth.

PY - 2008/8

Y1 - 2008/8

N2 - A novel adaptive fuzzy logic controller (AFC) based on an interval type-2 fuzzy controller is proposed for vehicle non-linear active suspension systems. The adaptive strategy elicited from the least-mean-squares optimal algorithm is adopted to self-tune lower bounds and upper bounds of interval type-2 fuzzy membership functions (IMF2s). The IMF2s are utilized in the AFC design to deal with not only non-linearity and uncertainty caused by irregular road inputs and immeasurable disturbance, but also the potential uncertainty of experts knowledge and experience. A case study based on a quarter-vehicle active suspension model has demonstrated that the proposed type-2 controller significantly outperforms conventional fuzzy controllers of an active suspension and a passive suspension.

AB - A novel adaptive fuzzy logic controller (AFC) based on an interval type-2 fuzzy controller is proposed for vehicle non-linear active suspension systems. The adaptive strategy elicited from the least-mean-squares optimal algorithm is adopted to self-tune lower bounds and upper bounds of interval type-2 fuzzy membership functions (IMF2s). The IMF2s are utilized in the AFC design to deal with not only non-linearity and uncertainty caused by irregular road inputs and immeasurable disturbance, but also the potential uncertainty of experts knowledge and experience. A case study based on a quarter-vehicle active suspension model has demonstrated that the proposed type-2 controller significantly outperforms conventional fuzzy controllers of an active suspension and a passive suspension.

U2 - 10.1243/09544070JAUTO767

DO - 10.1243/09544070JAUTO767

M3 - Article

VL - 222

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JO - Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering

JF - Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering

SN - 0954-4070

IS - 8

ER -

An interval type-2 fuzzy logic controller for quarter vehicle active suspensions

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