Research on Active Suspension System based on BP and RBF Network Algorithm

摘要：

　　A six degrees of freedom half body vehicle suspension system is presented in the paper.The Back Propagation neural network algorithm and the Radial-Basis Function network algorithm is adopted to control the suspension system.With the aid of software Matlab/Simulink,the simulation model is obtained.A great deal of simulation work is done.Simulation results demonstrate that both the designed radius basis function neural network and the back propagation neural network work well for the proposed vehicle suspension model in the paper.

关键词： Active suspension control Back Propagation network Radial-Basis Function network simulation

作者: Chuanyin Tang Guangyao Zhao Yimin Zhang Xiaoyu E

作者单位: School of Mechanical Engineering and Automation, North Eastern University, Shenyang, Liaoning,110004, China

会议类型: 国际会议

会议名称: the 2011 International Conference on Frontiers of Manufacturing Science and Measuring Technology (第一届制造科学与检测技术国际会议(ICFMM2011))

会议地点: 重庆

会议语种:英文

页码: 149-153

在线出版日期: 2011-06-23（万方平台首次上网日期，不代表论文的发表时间）