北京交通大学学报2011，Vol.35Issue(6)：67-71,5.
磁流变阻尼器的神经网络建模及在半主动控制中的应用
Neural network modeling of a magnetorheologicai damper and application in semi-active control
摘要
Abstract
An inverse model of magnetorheological damper with four input neurons, one output neurons and fifteen neurons in the hidden layer is built in this paper. Training and pruning of the model is done by a Levenberg-Marquardt method and Optimal Brain Surgeon method using data generated from the numerical simulation of the modified Bouc-Wen model. Finally, the MR damper inverse model is used in semi-active control simulation of 1/4 suspension model. The results show that the inverse model can predict needed current accurately and the performance of semi-active control is good.关键词
磁流变阻尼器/神经网络/逆向模型/半主动控制Key words
magnetorheological damper/ neural network/ inverse model/semi-active control分类
信息技术与安全科学引用本文复制引用
廖英英,刘永强,刘金喜..磁流变阻尼器的神经网络建模及在半主动控制中的应用[J].北京交通大学学报,2011,35(6):67-71,5.基金项目
国家自然科学基金资助项目(10672108,11172182) （10672108,11172182）
铁道部重点课题项目资助(2011J013-A) （2011J013-A）
河北省高等学校科学技术研究指导项目资助(Z2011228) （Z2011228）
