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基于联合仿真技术车辆有限带宽主动悬架控制系统
引用本文:冯金芝,喻凡.基于联合仿真技术车辆有限带宽主动悬架控制系统[J].上海交通大学学报,2006,40(6):952-957.
作者姓名:冯金芝  喻凡
作者单位:1. 上海交通大学,振动、冲击、噪声国家重点实验室,上海,200030;上海理工大学,汽车工程研究所,上海,200093
2. 上海交通大学,振动、冲击、噪声国家重点实验室,上海,200030
摘    要:叙述了基于联合仿真技术某工程车辆有限带宽主动悬架控制器的设计过程.首先在ADAMS/View软件环境下建立了该工程车辆虚拟样机,并利用实车道路试验数据对其进行了验证;设计了基于联合PID和模糊控制策略的有限带宽主动悬架控制器,并用Matlab/Simulink的S-Function函数模块编制了控制算法以及定义了与ADAMS/View环境下车辆模型数据交换的接口.然后基于ADAMS/View和Matlab/Simulink对设计的控制器进行联合仿真,标定控制器参数直至达到满意控制效果.最后与被动悬架系统进行了对比,结果表明,本文设计的有限带宽主动悬架控制器改善了车辆的行驶平顺性和操纵稳定性,从而提高了车辆的最大行驶速度.

关 键 词:有限带宽主动悬架  联合仿真  PID控制  模糊控制
文章编号:1006-2467(2006)06-0952-06
收稿时间:2005-08-01
修稿时间:2005年8月1日

A Bandwidth-Limited Active Suspension Controller for Off-Road Vehicle Based on Co-Simulation Technology
FENG Jin-zhi,YU Fan.A Bandwidth-Limited Active Suspension Controller for Off-Road Vehicle Based on Co-Simulation Technology[J].Journal of Shanghai Jiaotong University,2006,40(6):952-957.
Authors:FENG Jin-zhi  YU Fan
Abstract:This paper presented the design process of a controller for bandwidthlimited active hydro-pneumatic suspension employed by an off-road vehicle based on co-simulation technology.First,a multi-body dynamic model of the vehicle is established by using ADAMS/View software package,which is followed by the validation using vehicle field test.Second,a combined PID and fuzzy controller is designed for the bandwidth-limited active suspension system and then programmed by means of S-functions in Matlab/Simulink,and a data exchange interface with ADAMS/View is also defined.Third,the proposed control algorithm is implemented on the multi-body dynamic vehicle model and thus the co-simulation is running repeatedly until a more practical controller is achieved.In the end,the proposed active suspension system is compared with conventional passive system.The simulation results show that the proposed active suspension system improves both the ride and handling performance of the vehicle and therefore increases the maximum traveling speed even on a rough road.
Keywords:band-limited active suspension  co-simulation  PID control  fuzzy control
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