电动助力转向与主动悬架模糊神经网络集成控制  

EPS and Active Suspension System Integrated Control Based on Fuzzy Neural Network

作　　者：陈龙[1] 林安[1] 江浩斌[1] 

机构地区：[1]江苏大学汽车与交通工程学院,江苏镇江212013

出　　处：《拖拉机与农用运输车》2008年第1期35-37,40,共4页Tractor & Farm Transporter

基　　金：国家自然科学基金项目(50275064);江苏省高新技术项目(BG2004025)

摘　　要：在建立汽车电动助力转向和主动悬架系统的集成模型基础上,利用神经网络自适应学习功能推导集成系统模糊控制规律,设计了模糊神经网络控制策略,对转向行驶工况下的集成系统进行了大量的计算分析。研究结果表明,采用所提出的集成控制策略能有效地实现对汽车平顺性、操纵稳定性、安全性的集成优化,从而使得整车动力学性能得到较大改善。Based on setting up integrated model of electric power steering and active suspension system, the fuzzy control rules are ratiocination adaptively by using neural network, the control strategy of fuzzy neural network is presented, plenty of calculations and analysis of integrated system in steering eondition are carried out. The result shows that, the fuzzy neural network control can integrate solve vehicle ride performance, maneuverability and safety effectively. Finally, the performance of whole vehicle dynamics can be improved greatly.

关 键 词：电动助力转向系统 主动悬架 集成控制 模糊神经网络 

分 类 号：U463.444[机械工程—车辆工程] U463.33[交通运输工程—载运工具运用工程]