时滞半主动悬架模糊神经网络控制  

Fuzzy Neural-network Control of Semi-active Suspension with Time Delay

作　　者：汪若尘[1] 陈龙[2] 江浩斌[1] 

机构地区：[1]江苏大学汽车与交通工程学院 [2]江苏大学京江学院

出　　处：《农业机械学报》2007年第7期10-12,48,共4页Transactions of the Chinese Society for Agricultural Machinery

基　　金：国家自然科学基金资助项目(项目编号:50275064);江苏省高新技术资助项目(项目编号:BG2004025)

摘　　要：建立了含时滞半主动悬架数学模型,分析了悬架系统产生时滞的原因,设计了含时滞补偿模糊神经网络自适应控制策略,开发了C8051单片机为内核的半主动悬架控制系统,仿真分析后,在全真半主动悬架试验台上进行了台架试验。结果表明,实施半主动悬架神经网络时滞补偿控制,解决了控制中的“不合拍”问题,较好地协调了车辆舒适性和安全性之间的矛盾。The mathematic model of semi-active suspension with time delay was built.Based the mathematic model,the system's time delay was analyzed,and the fuzzy neural-network control with time delay compensating was designed.Then the semi-active suspension control system was developed,which with C8051 singlechip as its key parts.After the simulation,the bench test was done on the reality semi-active suspension test-bed.The results showed that the fuzzy neural-network control can solve the control “harmony” and better coordinate the contradiction between vehicle comfort and safety.

关 键 词：半主动悬架 时滞模糊神经网络 台架试验 

分 类 号：U463.3[机械工程—车辆工程]