载人小轿车智能悬架在模态空间的模糊控制  

Fuzzy Control in Modal Space for Ride Comfort with MR Damper

作　　者：王波[1] 王荣秀[2] 

机构地区：[1]重庆理工大学光电技术学院,重庆400050 [2]重庆工商大学计信学院,重庆400067

出　　处：《噪声与振动控制》2011年第3期42-46,共5页Noise and Vibration Control

摘　　要：在考虑载人汽车7+k自由度模型的基础上,根据模态控制方法与模糊控制方法各自特点,将两者相结合,提出模态模糊控制的概念,并对模态模糊控制方法进行介绍;在模态空间实施模糊控制可避免系统自由度数量较多而作动器数量较少的矛盾,同时也可利用模糊控制方法的优点,使控制律的设计适应非线性较强、存在时滞、数学模型无法精确建立的汽车受控系统;还可利用模态控制原理,选择不同模态进行模糊控制。结合模态控制方法和最优控制理论,进一步讨论模态模糊控制方法中确定各种模态模糊变量论域的方法,针对汽车7+4自由度模型,分别给出模态位移、模态速度及模态控制力的论域。最后,对一具有磁流变阻尼器的汽车11自由度模型的振动控制进行数字仿真,结果表明模态模糊控制方法有良好稳定的控制效果。Based on the 3-D vehicle model with 7 degrees of freedom,a dynamic model with 7＋k degrees of freedom is introduced in this paper for the comfort analysis.In this model,the effects of the passengers and the drivers and their seats are considered.They are represented by k mass-spring subsystems which are incorporated into the 3-D model.With this mod-el,the closed loop dynamic mathematical model is derived to simulate the dynamic behavior of the system.To establish the optimal semi-active control rules,the modal space control method and the linear quadrate optimal theory（LQR）are applied.Numerical examples of a car with 11 degrees of freedom are employed to investigate the validities of this approach.The re-sults obtained from the numerical simulations demonstrate the applicability and suitability of both the 3-D vehicle model with 7＋k degrees of freedom and the modal space control method.

关 键 词：振动与波 汽车平顺性 模态空间 模态模糊控制 

分 类 号：U461.4[机械工程—车辆工程]