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Fuzzy control for vehicle stability

descriptionPublicationkeyboard_double_arrow_right Article 01 Aug 2011Publisher:IEEEJournal:2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC)
Authors: null Xiaobin Fan; null Bingxu Fan; null Huigang Wang;

doi: 10.1109/aimsec.2011.6011024

Fuzzy control for vehicle stability

Abstract

An 8-dof vehicle nonlinear dynamic model was established with the linear 2-dof vehicle handling characteristics model as the target control. The vehicle stability control system yaw and yaw rate combined fuzzy control simulation model was established based on automobile yaw moment and vehicle state deviation between the dynamic relationship. Through the hook simulation test, which shows that the active yaw control system can make the vehicle steadily drive.

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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!
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