DocumentCode
2297195
Title
Research on Suspension System Based on Neural Network Algorithm
Author
Tang, Chuan Yin ; Zhao, Guang Yao ; Zhou, Wei ; Zhou, Shu Wen
Author_Institution
Sch. of Mech. Eng. & Autom., North Eastern Univ., Shenyang, China
Volume
3
fYear
2010
fDate
13-14 March 2010
Firstpage
186
Lastpage
189
Abstract
In this paper, a six degree of freedom half body vehicle suspension system is developed. The neural network algorithm is used to control the suspension system. With the aid of software Matlab/Simulink, the simulation model is achieved. With changing of neural network coefficients, such as changing of training epoch and changing of the network structure, a lot of simulation work is done. Simulation results demonstrate that the proposed active suspension system proves to be effective in vibration reduction and drive stability enhancement of the suspension system.
Keywords
neurocontrollers; suspensions (mechanical components); drive stability enhancement; half body vehicle suspension system; neural network algorithm; software Matlab-Simulink; suspension system; vibration reduction; Damping; Engines; Mathematical model; Neural networks; Road safety; Road vehicles; Shock absorbers; Tires; Vehicle safety; Vibrations; network coefficients; neural networks algorithm; simulation; suspension control;
fLanguage
English
Publisher
ieee
Conference_Titel
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Conference_Location
Changsha City
Print_ISBN
978-1-4244-5001-5
Electronic_ISBN
978-1-4244-5739-7
Type
conf
DOI
10.1109/ICMTMA.2010.188
Filename
5459681
Link To Document