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A research on internal model control for vehicle yaw stability

Authors: Song Dandan; Yang Tao;

A research on internal model control for vehicle yaw stability

Abstract

An internal model control method based on inverse system to improve vehicle stability was proposed. The inverse model approximated by neural network was cascaded with the original system in the method. Based on the idea of the inverse system method, the obtained system was controlled by the method via feedback linearization. A simulation is performed with it during two different conditions: step input and sinusoidal input, the results showed that the transient and steady response based on presented method does not depend on the accurate mathematical model of the system, and the presented control way can improve vehicle's yaw stability and control side slip angle and yaw rate effectively, and achieve steady transient nature, lighten the driver's burden.

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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!
0
Average
Average
Average
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