Research on Suspension System based on Neural Network Algorithm

摘要：

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.

关键词： suspension control neural networks algorithm network coefficients simulation

作者: Chuan yin TANG Guang yao ZHAO Wei ZHOU Shu wen Zhou

作者单位: School of Mechanical Engineering and Automation, North Eastern University, Shenyang,110004, China Ministry of Communications Research Institute of Highway, Beijing, China

会议类型: 国际会议

会议名称: 2010 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2010)(2010年检测技术与机电自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 2440-2443

在线出版日期: 2010-03-13（万方平台首次上网日期，不代表论文的发表时间）