摘要
通过实验测出磁流变阻尼器在不同电流作用下的力与速度关系的阻尼系数特征数据,并将所得阻尼数据导入麦弗逊悬架多体动力学模型;计算簧载质量速度及其变化率作为主动悬架控制的输出量;半主动悬架采用模糊PID复合控制器,用模糊控制策略对PID控制器在给定的参数范围内进行在线实时调整;在MATLAB中搭建悬架系统联合仿真模型。仿真计算结果表明:在各不同车速阶段,采用模糊PID复合控制器均对改善悬架的总体性能有明显作用;且车身垂直加速度、悬架动行程及车轮侧向滑移量在低频阶段改善突出,提升了整车在不同车速范围内的乘坐舒适性与操作稳定性。
The characteristic data of damping coefficient of the magneto-rheological damper,which are concerning the relationship between force and velocity,are to be measured under different currents and to be introduced to the multi-body dynamic simulation model of Macpherson suspension.With the sprung mass velocity and its change rate as the active suspension control output,the semi-active suspension adopts the fuzzy PID controller,followed by an online real time adjustment of fuzzy PID controller with a fuzzy control strategy within a given parameter range,thus establishing a co-simulation model of the suspension system in MATLAB.The simulation results show that:at different speed stages,the fuzzy PID controller has an obvious effect on the improvement of the overall performance of the suspension.The vertical acceleration of the vehicle body,the dynamic stroke of the suspension and the lateral slip of the wheel are drastically improved at the low frequency stage,and the ride comfort and handing stability of the vehicle are enhanced in different speed ranges.
作者
王孝鹏
WANG Xiaopeng(School of Mechanical & Electronic Engineering, Sanming University,Sanming Fujian 365004,China;Engineering Research Center in Fujian Province University for Modern Mechanical Design and Manufacturing Technology,Sanming Fujian 365004,China;Fujian Provincial Collaborative Innovation Center for Green Casting,Forging and Advanced Manufacturing,Sanming Fujian 365004,China;Fujian Provincial Engineering Research Center for Castingand Forging Parts,Sanming Fujian 365004,China)
出处
《湖南工业大学学报》
2017年第2期66-71,共6页
Journal of Hunan University of Technology
基金
福建省省属高校科研专项基金资助项目(JK2014048)
关键词
磁流变阻尼器
麦弗逊悬架
路面模型
模糊PID
联合仿真
magneto-rheological damper (MRF damper)
Macpherson suspension
road model
fuzzy PID
co-simulation
