基于LMS自适应滤波的汽车主动悬架研究  

STUDY ON AUTOMOBILE ACTIVE SUSPENSION BASED ON LMS ADAPTIVE FILTER

作　　者：孙建民[1] 柳贡民 

机构地区：[1]天津大学机械学院,天津300072 [2]哈尔滨工程大学动力与核能工程学院,哈尔滨150001

出　　处：《振动与冲击》2004年第4期139-142,共4页Journal of Vibration and Shock

摘　　要：针对简化的车辆模型 ,确定汽车簧上质量的加速度、车轮与地面间的动载荷以及车身的动挠度为悬架系统性能评价指标。将LMS自适应滤波算法与广义自适应控制相对比 ,仿真计算表明 ,LMS自适应控制策略不仅计算简单 ,而且性能指标明显优于广义自适应控制方法。The active control suspension system can improve both the riding comfort and handing safety in various operation condition. The Least Mean Square (LMS) adaptive algorithm is used to active suspension system. For automobile suspension model, generalized adaptive control and LMS adaptive control are studied. The simulation results show that LMS adaptive control is not only simple in algorithm but also effective remarkably, and this algorithm has the advantages over other contrastive methods.

关 键 词：主动悬架 汽车 悬架系统 车身 车辆模型 动挠度 车轮 LMS 自适应滤波算法 性能指标 

分 类 号：TU767.4[建筑科学—建筑技术科学] TN911[电子电信—通信与信息系统]