MRF Damper Control Based on Fuzzy Neural Network

摘要：

Semi-active fuzzy neural network control is presented in terms of nonlinear characteristic of MRF(magneto-rheological fluid) damper, simulating results show that semi-active control using fuzzy neural network can effectively reduce MRF dampers vibration displacement and acceleration response. Simulation examples verify the effectiveness and practicability of proposed method, the body and tires acceleration response value is only 59.0％ of passive control.

关键词： MRF Damper Fuzzy Neural Network Control

作者: Yan Zhanhui Li Liqiang Li Xiaodong

作者单位: Changchun Institute of Technology, Changchun, Jilin, 130012, China

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 1906-1909

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）