A fuzzy logic approach for vehicle collision energy distribution

J.E. Trollope; L. Koszalka; I. Pozniak-Koszalka; Keith J. Burnham

doi:10.1109/CONTROL.2014.6915159

A fuzzy logic approach for vehicle collision energy distribution

J.E. Trollope, L. Koszalka, I. Pozniak-Koszalka, Keith J. Burnham

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

Abstract

This paper presents the concept of a novel active buckling control strategy aimed at alleviating the compatibility problem arising when two vehicles of dissimilar mass and stiffness values encounter a collision. The approach assumes that the properties of the vehicle body structures may be changed via actively controlled materials; in particular the smallest positive eigenvalue which corresponds to the point at which buckling commences. The approach is based on a multi-dimensional look-up table combined with fuzzy logic for interpolating between pre-calculated levels of energy absorption related to the stiffness values. By modelling the force versus deformation characteristic, the energy to be absorbed is more appropriately apportioned, thus enhancing vehicle safety.

Original language	English
Title of host publication	2014 UKACC International Conference on Control (CONTROL)
Publisher	IEEE
Pages	313-318
Number of pages	6
ISBN (Electronic)	978-1-4799-5011-9
DOIs	https://doi.org/10.1109/CONTROL.2014.6915159
Publication status	Published - 2 Oct 2014

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Keywords

active buckling control
automotive control
bilinear model
collision energy
fuzzy logic

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10.1109/CONTROL.2014.6915159

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title = "A fuzzy logic approach for vehicle collision energy distribution",

abstract = "This paper presents the concept of a novel active buckling control strategy aimed at alleviating the compatibility problem arising when two vehicles of dissimilar mass and stiffness values encounter a collision. The approach assumes that the properties of the vehicle body structures may be changed via actively controlled materials; in particular the smallest positive eigenvalue which corresponds to the point at which buckling commences. The approach is based on a multi-dimensional look-up table combined with fuzzy logic for interpolating between pre-calculated levels of energy absorption related to the stiffness values. By modelling the force versus deformation characteristic, the energy to be absorbed is more appropriately apportioned, thus enhancing vehicle safety.",

keywords = "active buckling control, automotive control, bilinear model, collision energy, fuzzy logic",

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AU - Burnham, Keith J.

N1 - This paper is not yet available on the repository

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N2 - This paper presents the concept of a novel active buckling control strategy aimed at alleviating the compatibility problem arising when two vehicles of dissimilar mass and stiffness values encounter a collision. The approach assumes that the properties of the vehicle body structures may be changed via actively controlled materials; in particular the smallest positive eigenvalue which corresponds to the point at which buckling commences. The approach is based on a multi-dimensional look-up table combined with fuzzy logic for interpolating between pre-calculated levels of energy absorption related to the stiffness values. By modelling the force versus deformation characteristic, the energy to be absorbed is more appropriately apportioned, thus enhancing vehicle safety.

AB - This paper presents the concept of a novel active buckling control strategy aimed at alleviating the compatibility problem arising when two vehicles of dissimilar mass and stiffness values encounter a collision. The approach assumes that the properties of the vehicle body structures may be changed via actively controlled materials; in particular the smallest positive eigenvalue which corresponds to the point at which buckling commences. The approach is based on a multi-dimensional look-up table combined with fuzzy logic for interpolating between pre-calculated levels of energy absorption related to the stiffness values. By modelling the force versus deformation characteristic, the energy to be absorbed is more appropriately apportioned, thus enhancing vehicle safety.

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KW - automotive control

KW - bilinear model

KW - collision energy

KW - fuzzy logic

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DO - 10.1109/CONTROL.2014.6915159

M3 - Conference proceeding

SP - 313

EP - 318

BT - 2014 UKACC International Conference on Control (CONTROL)

PB - IEEE

ER -

A fuzzy logic approach for vehicle collision energy distribution

Abstract

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Keywords

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