摘要
为改善车辆的乘坐舒适性和行驶平顺性,利用Recurdyn建立了七自由度整车的主动悬架模型;以悬架动挠度和悬架的相对速度作为输入、路面激励等级作为输出设计了一个模糊控制器,对路面激励的大小作出一个判断,并将路面激励进一步划分为12级,通过调节权重求得不同路面激励等级上的最优反馈增益,从而实现各级路面激励上的最优控制,进而达到整体性能的改善.将提出的复合控制策略在Matlab与Recurdyn软件中进行联合仿真,仿真结果表明了本文控制策略的有效性和可行性.
The whole vehicle active suspension with seven degrees was established to improve the riding comfort performance; the fuzzy controller was designed with suspension relative displacement and suspension of the relative speed as input and road excitation level as output to judge the size of the road excitation. The road excitation was further divided into 12 grades, optimal feedback gain by adjusting the weights on the different levels of road excitation was obtained, and optimal control on the road of any grade to achieve the overall performance improvement was achieved. Through the joint simulation of Matlab and Recurdyn the effectiveness and feasibility of this control strategy are verified
出处
《北京工业大学学报》
CAS
CSCD
北大核心
2014年第2期260-264,共5页
Journal of Beijing University of Technology
基金
国家自然科学基金资助项目(59604451)
高等学校博士学科点专项科研基金资助项目(20020183003)
关键词
主动悬架
最优控制
模糊控制
联合仿真
active suspension
optimal control
fuzzy control
co-simulation