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Conference object . 2017
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https://doi.org/10.1109/codit....
Article . 2017 . Peer-reviewed
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Conference object . 2021
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Fault tolerant design for autonomous vehicle

Authors: Boukhari, Mohamed Riad; Glaser, Sébastien; Chaibet, Ahmed; Boukhnifer, Moussa;

Fault tolerant design for autonomous vehicle

Abstract

A fault-tolerant control design strategy based upon sliding mode control and a descriptor observer for Upschitz system is presented. The aim is to mitigate the vehicle speed faults and provide accurate measurements for the control. Thus, the additive faults affecting the vehicle speed sensor are estimated, and accurate speed measurments are used to control the vehicle speed instead of the faulty ones. Sufficient conditions and obsrever gain are designed by use of Lyapunov theory, satisfying L 2 -gain norm and H ∞ enterions. These conditions are derived under the well known Linear Matrix Inequality. The optimal designed gains ensure robustness against disturbances and additive sensor faults. A nonlinear longitudinal vehicle dynamic is considered to demonstrate the performance of the proposed design to achieve the spacing control task. Computer simulations are addressed to validate the proposed controller in autonomous vehicle scenario.

Countries
France, Australia
Keywords

629, [SPI.AUTO] Engineering Sciences [physics]/Automatic, spacing control, fault estimation., descriptor systems, fault tolerant control, fault estimation

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    popularity
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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
Green