@inproceedings{6c70eacc49cd4d918ce8cafcee9cb29f,
title = "Research on yaw stability control of active front steering based on BP neural network PID",
abstract = "This paper proposes using BP neural network PID to improve the yaw stability of the vehicle with active front steering system. A dynamic model of vehicle with active front steering is built firstly, and then the BP neural network PID controller is designed in detail. The controller generates the suitable steering angle so that the vehicle follows the target value of the yaw rate. The simulation at different conditions is carried out based on the fore established model. The simulation results show the BP neural network PID controller can improve the vehicle's yaw stability effectively.",
keywords = "Active front steering, BP neural network PID, Vehicle, Yaw stability",
author = "Jie Wei and Shi, {Guo Biao} and Yi Lin",
year = "2013",
doi = "10.4028/www.scientific.net/AMR.765-767.1903",
language = "English",
isbn = "9783037857984",
series = "Advanced Materials Research",
pages = "1903--1907",
booktitle = "Advanced Information and Computer Technology in Engineering and Manufacturing, Environmental Engineering",
note = "2013 International Conference on Advances in Materials Science and Manufacturing Technology, AMSMT 2013 ; Conference date: 18-05-2013 Through 19-05-2013",
}