时滞半主动悬架大系统递阶控制研究  

Study of Large-scale System Hierarchical Control of Semi-active Suspension with Time-delay

作　　者：汪若尘[1] 陈龙[1] 江浩斌[1] 

机构地区：[1]江苏大学,镇江212013

出　　处：《中国机械工程》2007年第11期1382-1385,共4页China Mechanical Engineering

基　　金：国家自然科学基金资助项目(50275064);江苏省高新技术项目(BG2004025);江苏省国际合作项目(BZ2003034)

摘　　要：建立了含时滞半主动悬架整车数学模型,解决了传统半主动悬架整车模型无法考虑时滞的难题;设计了模糊神经网络自适应子控制策略及大系统递阶协调控制策略,开发了以ARM单片机为核心元件的半主动悬架控制器。在仿真的基础上进行了实车道路试验,结果表明,模糊神经网络自适应子系统控制器改善了车辆的局部性能,递阶控制协调了车辆的整体性能,调整了车辆行驶姿态,二者联合控制,提高了半主动悬架控制的有效性、实时性,协调了车辆安全性与平顺性之间的矛盾。研究结果为整车半主动悬架系统时滞及其控制研究提供了新的方法。The whole mathematical model of semi--active suspension with time--delay was built and it solved the problem that the time--delay could not be considered in the traditional whole mathe- matical model of semi--active suspension. The fuzzy neural network control subsystem and large scale system hierarchical control system were designed. The controller of semi--active suspension system with the ARM singlechip as core part was developed. The vehicle road test was done based on the simulation. The result shows that fuzzy nueral network control subsystem ameliorates the vehicle＇s outstanding performance and the hierarchical control system coordinates its integral performance and adjusts the vehicle body carriage. The availability and real time characteristics are advanced and the conflict between vehicle safety and ride comfort is coordinated. A new method to study the time--delay and its control of semi--active suspesion system is obtained.

关 键 词：半主动悬架 模糊神经网络 递阶控制 时滞 

分 类 号：U463.33[机械工程—车辆工程]