空气悬架的神经网络模糊控制及仿真分析  

Fuzzy Neural Network Control and Simulation Analysis of Air Suspension

作　　者：何天明[1] 梁许丽[1] 邹伯宏 

机构地区：[1]武汉理工大学汽车工程学院,湖北武汉430070 [2]空军驻湖北军事代表室,湖北武汉430023

出　　处：《武汉理工大学学报（信息与管理工程版）》2005年第4期123-127,共5页Journal of Wuhan University of Technology：Information & Management Engineering

摘　　要：空气悬架系统是一个非线性系统,该系统工作环境是时变性的。提出了基于神经网络的模糊控制策略,应用该控制策略对某一高级客车的空气悬架刚度进行控制,可以根据车辆振动响应的结果来判断车体的振动情况以后,实时调节空气悬架刚度,使车辆对路面的变化具有适应能力,从而改善汽车行驶平顺性。Air suspension system is a nonlinear system and its working conditions are changeable with time. Fuzzy control strategies based on neural network are presented. This control strategy is employed to control the stiffness of air suspension for a certain kind of vehicle. The vibration behavior of vehicles can be identified according to the results of vibration responses. The stiffness of air suspension can be adjusted to make the vehicles adapted to the changes of roads. The steering ride of vehicles can be improved.

关 键 词：神经网络 仿真分析 空气悬架系统 系统工作环境 模糊控制策略 悬架刚度 非线性系统 行驶平顺性 高级客车 振动响应 实时调节 适应能力 时变性 车辆 车体 路面 汽车 

分 类 号：U463.33[机械工程—车辆工程] TP18[交通运输工程—载运工具运用工程]