DocumentCode
113838
Title
A research on internal model control for vehicle yaw stability
Author
Song Dandan ; Yang Tao
Author_Institution
Automobile Dept., Henan Commun. Vocational Technol., Zhengzhou, China
fYear
2014
fDate
26-28 April 2014
Firstpage
11
Lastpage
14
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.
Keywords
feedback; linearisation techniques; neurocontrollers; road traffic control; road vehicles; stability; vehicle dynamics; feedback linearization; internal model control; inverse system; neural network; side slip angle; sinusoidal input; steady response; step input; transient response; vehicle yaw stability; yaw rate; Linear systems; Mathematical model; Neural networks; Stability criteria; Transient analysis; Vehicles; automotive engineering; internal model control; inverse system; neural network; yaw stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Technology (ICIST), 2014 4th IEEE International Conference on
Conference_Location
Shenzhen
Type
conf
DOI
10.1109/ICIST.2014.6920320
Filename
6920320
Link To Document