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
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;
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
DOI :
10.1109/ICMTMA.2010.188