Research on Suspension System based on Genetic Algorithm and Neural Network Control

摘要：

An active suspension system for vehicles using the genetic algorithms and neural network controls strategy is presented.A half car four degree of freedom suspension vibration model is described.Compared with the conventional passive suspension system,the analysis is done to the system control performance.The analysis of the system response is obtained through the change of the neural network training coefficients,genetic algorithms input functions and the change of velocity.The simulation results indicate that the vehicle vibration can be reduced and the ride comfort is improved by the proposed suspension systems.

关键词： active suspension neural networks genetic algorithm simulation

作者: Chuan yin TANG Guang yao ZHAO Hua LI Shu wen ZHOU

作者单位: School of Mechanical Engineering and Automation,North Eastern University,Shenyang, China Engineering College,Shenyang Agricultural University, Shenyang School of Mechanical Engineering and Automation,North Eastern University, Shcnyang, China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 468-471

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）