Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《China Mechanical Engineering》 2016-01
Add to Favorite Get Latest Update

Suspension Test System Based on Modified Elman Neural Network

Song Chongzhi;Zhao Youqun;Nanjing University of Aeronautics and Astronautics;Anhui University of Technology;  
An improved Elman neural network controller was established,which could meet multi network and multi order system.A programmable automation controller(PAC)controller was established based on modified Elman neural network,and was used to the 6-DOF suspension system test platform control;the effects of suspension parameters on wheel load utilization ratio and phase angle were analyzed.The results show that the matching of the suspension parameters can improve body vibration,reduce the suspension dynamic deflection and tire dynamic load.
【Fund】: 国家自然科学基金资助项目(11072106)
【CateGory Index】: U463.33;U467.52
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved