| 自适应模糊控制车辆悬架系统试验 |
| |
| 引用本文： | 舒歌群,孙建民. 自适应模糊控制车辆悬架系统试验[J]. 天津大学学报(自然科学与工程技术版), 2006, 39(6): 651-656 |
| |
| 作者姓名： | 舒歌群 孙建民 |
| |
| 作者单位： | [1]天津大学机械工程学院,天津300072 [2]北京建筑工程学院机电工程系,北京100044 |
| |
| 摘 要： | 根据车辆操纵稳定性及行驶平顺性的评价标准，以车辆系统的簧上质量加速度、车轮动栽荷和悬架动挠度为主要评价指标，针对路面-车辆系统特点，提出一种以解析方法确定模糊控制规则的算法，利用LMS自适应模块调整模糊控制器的修正因子，提高模糊控制算法对路面一车辆系统的适应性，在以路面信号作为激励源的仿真过程中，与自适应控制悬架系统相比较，簧上质量加速度峰值减至1／20．对简化车辆模型，在2DOF系统试验台架上进行了试验验证，对比结果进一步证明自适应模糊控制方法更适合车辆悬架系统的振动控制，
|
| 关 键 词： | 悬架系统 模糊逻辑 自适应控制 车辆平顺性 |
| 文章编号： | 0493-2137（2006）06-0651-06 |
| 收稿时间： | 2005-03-11 |
| 修稿时间： | 2005-03-112005-12-05 |
Adaptive Fuzzy Control for Vehicle Suspension System |
| |
| SHU Ge-qun,SUN Jian-min. Adaptive Fuzzy Control for Vehicle Suspension System[J]. Journal of Tianjin University(Science and Technology), 2006, 39(6): 651-656 |
| |
| Authors: | SHU Ge-qun SUN Jian-min |
| |
| Affiliation: | 1. School of Mechanical Engineering, Tianjin University, Tianjin 300072, China; 2. Department of Mechanical and Electrical Engineering, Beijing Institute of Civil Engineering and Architecture, Beijing 100044, China |
| |
| Abstract: | The riding comfort and handling safety of vehicle are regarded as control aims. The acceleration of the sprung mass, dynamic load between wheel and road and dynamic deflection between the sprung mass and the unsprung mass are determined as the evaluation target of vehicle suspension performance. For the road-vehicle system, an adjustable fuzzy control algorithm by which fuzzy control rule tables can be obtained with the numerical calculation is advanced. For two degrees of freedom (DOF) vehicle model, the simulation of vehicle performance with road signal is studied. Compared with adaptive active control suspension system, the simulation results show the adjustable fuzzy controller can reduce the acceleration of the sprung mass by a factor of 20. According to the experiment verification of the vehicle model, the algorithm can effectively control the vibration of vehicle system. |
| |
| Keywords: | suspension system fuzzy logic adaptive control vehicle riding comfort |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
