会议专题

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

  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.

Active suspension control Back Propagation network Radial-Basis Function network simulation

Chuanyin Tang Guangyao Zhao Yimin Zhang Xiaoyu E

School of Mechanical Engineering and Automation, North Eastern University, Shenyang, Liaoning,110004, China

国际会议

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))

重庆

英文

149-153

2011-06-23(万方平台首次上网日期,不代表论文的发表时间)