Simulation of Semi-active Air Suspension Based on Neural Network-adaptive Control Algorithm
Neural Network-adaptive Control Algorithm is pointed out according to the non-linear characteristic for the semi-active suspension of automobiles and at the same time the recognition device and controller have been designed. The results of the simulation research on the 1/4 variable rigidity air suspension show that neural network self- adaptive controlled semi-active air suspension has an apparent advantages to passive suspension in reducing vibration ,correcting the stability and smooth of the automobiles .Thereby, the feasibility and validity which applied into semi active air suspension is testified .The research also has an instructional function for the further research on the semi active air suspension.
semi-active suspension neural network adaptive control air suspension simulation
Hua Li Chuanyin Tang Dexu Yang Xuezong Tao
Engineering College Shenyang Agricultural University Shenyang, China College of Mechanical Engineering and Automation Northeastern University Shenyang, China
国际会议
长沙
英文
1188-1191
2009-10-10（万方平台首次上网日期，不代表论文的发表时间）