A robust single-input adaptive sliding mode fuzzy logic controller for automotive active suspension system

Ibrahim B. Kucukdemiral; Seref N. Engin; Vasfi E. Omurlu; Galip Cansever

doi:10.1007/11539506_122

A robust single-input adaptive sliding mode fuzzy logic controller for automotive active suspension system

Ibrahim B. Kucukdemiral, Seref N. Engin, Vasfi E. Omurlu, Galip Cansever

Instrumentation and Control

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

6 Citations (Scopus)

Abstract

The proposed controller in this paper, which combines the capability of fuzzy logic with the robustness of sliding mode controller, presents prevailing results with its adaptive architecture and proves to overcome the global stability problem of the control of nonlinear systems. Effectiveness of the controller and the performance comparison are demonstrated with chosen control techniques including PID and PD type self-tuning fuzzy controller on a quarter car model which consists of component-wise nonlinearities.

Original language	English
Pages (from-to)	981-986
Number of pages	6
Journal	Lecture Notes in Artificial Intelligence
Volume	3613
DOIs	https://doi.org/10.1007/11539506_122
Publication status	Published - 2005

Keywords

fuzzy controller
sliding mode
Fuzzy logic controller (FLC)
slide mode controller
ride comfort

ASJC Scopus subject areas

Electrical and Electronic Engineering

Documents and Links

10.1007/11539506_122

Cite this

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title = "A robust single-input adaptive sliding mode fuzzy logic controller for automotive active suspension system",

abstract = "The proposed controller in this paper, which combines the capability of fuzzy logic with the robustness of sliding mode controller, presents prevailing results with its adaptive architecture and proves to overcome the global stability problem of the control of nonlinear systems. Effectiveness of the controller and the performance comparison are demonstrated with chosen control techniques including PID and PD type self-tuning fuzzy controller on a quarter car model which consists of component-wise nonlinearities.",

keywords = "fuzzy controller, sliding mode, Fuzzy logic controller (FLC), slide mode controller, ride comfort",

author = "Kucukdemiral, {Ibrahim B.} and Engin, {Seref N.} and Omurlu, {Vasfi E.} and Galip Cansever",

year = "2005",

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pages = "981--986",

journal = "Lecture Notes in Artificial Intelligence",

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AU - Kucukdemiral, Ibrahim B.

AU - Engin, Seref N.

AU - Omurlu, Vasfi E.

AU - Cansever, Galip

PY - 2005

Y1 - 2005

N2 - The proposed controller in this paper, which combines the capability of fuzzy logic with the robustness of sliding mode controller, presents prevailing results with its adaptive architecture and proves to overcome the global stability problem of the control of nonlinear systems. Effectiveness of the controller and the performance comparison are demonstrated with chosen control techniques including PID and PD type self-tuning fuzzy controller on a quarter car model which consists of component-wise nonlinearities.

AB - The proposed controller in this paper, which combines the capability of fuzzy logic with the robustness of sliding mode controller, presents prevailing results with its adaptive architecture and proves to overcome the global stability problem of the control of nonlinear systems. Effectiveness of the controller and the performance comparison are demonstrated with chosen control techniques including PID and PD type self-tuning fuzzy controller on a quarter car model which consists of component-wise nonlinearities.

KW - fuzzy controller

KW - sliding mode

KW - Fuzzy logic controller (FLC)

KW - slide mode controller

KW - ride comfort

U2 - 10.1007/11539506_122

DO - 10.1007/11539506_122

M3 - Article

VL - 3613

SP - 981

EP - 986

JO - Lecture Notes in Artificial Intelligence

JF - Lecture Notes in Artificial Intelligence

ER -

A robust single-input adaptive sliding mode fuzzy logic controller for automotive active suspension system

Abstract

Keywords

ASJC Scopus subject areas

Documents and Links

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