基于轴距预瞄的汽车半主动悬架控制及试验

贝绍轶; 袁传义; 冯俊萍

doi:10.19818/j.cnki.1671-1637.2009.05.008

基于轴距预瞄的汽车半主动悬架控制及试验

doi: 10.19818/j.cnki.1671-1637.2009.05.008

江苏技术师范学院汽车工程学院, 江苏常州 213001

基金项目:

江苏省高校自然科学研究项目 06KJD460054

详细信息

作者简介:
贝绍轶（1968-）, 男.山东泰安人, 江苏技术师范学院副教授, 从事车辆动态性能模拟与控制研究

中图分类号: U463.33
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- 被引次数: 0
出版历程
- 收稿日期: 2009-05-11
- 刊出日期: 2009-10-25

Control and test of vehicle semi-active suspension based on wheelbase preview

School of Automobile Engineering, Jiangsu Teachers University of Technology, Changzhou 213001, Jiangsu, China

More Information

Author Bio:
BEI Shao-yi(1968-),male,associate professor,+ 86-591-86999787,bsy1968@126.com

摘要

摘要: 为了研究轴距预瞄控制技术对半主动悬架系统性能的影响, 构建了基于轴距预瞄的1/2车辆半主动悬架综合模型, 结合神经网络和PID控制理论, 提出了单神经元自适应PID控制算法, 设计了轴距预瞄半主动悬架单神经元PID控制系统, 进行了仿真计算。为研究单神经元自适应PID控制策略的有效性及其控制系统的可靠性, 同时进行了基于轴距预瞄的实车道路试验。研究结果表明: 与被动悬架系统相比, 在车速为50km.h^-1时, 车身质心垂直加速度的峰值和标准差分别减少了20.91%和19.11%;车速为60km.h^-1时, 分别减少了24.42%和26.85%, 并且俯仰角加速度也有一定程度降低, 较好改善了车辆的行驶平顺性。
- 汽车工程 /
- 半主动悬架 /
- 轴距预瞄 /
- 神经元PID /
- 路面不平度
Abstract: In order to study the influence of wheelbase preview control technology on the performance of semi-active suspension system, a half-vehicle semi-active suspension model based on wheelbase preview was established. Neural networks and PID control theory were utilized, the control algorithm of single neuron adaptive PID was put forward, the single neuron PID control system of semi-active suspension based on wheelbase preview was designed, and the simulation was carried out. In order to study the effectiveness of the single neuron adaptive PID control strategy and the reliability of control system, vehicle road test was carried out. Analysis result shows that compared with the passive system, the peak and standard deviation separately decrease by 20. 91% and 19. 11% at the speed of 50 km·h^-1, and decrease by 24.42% and 26.85% at the speed of 60 km·h^-1, and the pitching angular aeeeleration is also reduced at a certain degree, so the vehicle ride performance is improved significantly.
- automobile engineering /
- semi-active suspension /
- wheelbase preview /
- neuron PID /
- road surface roughness

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图 1 1／2车辆模型

Figure 1. 1／2 vehicle model

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图 2 半主动悬架控制系统

Figure 2. Control system of semi-active suspension

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图 3 仿真结果

Figure 3. Simulation results

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图 4 实车道路试验

Figure 4. Vehicle road test

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图 5 50km·h^-1时车辆性能比较

Figure 5. Comparison of vehicle performances at 50km·h^-1

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图 6 60 km·h^-1时车辆性能比较

Figure 6. Comparison of vehicle performances at 60 km·h^-1

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表 1 悬架系统参数

Table 1. Parameters of suspension system

表 2 仿真结果比较

Table 2. Comparison of simulation results

表 3 水泥路实车道路试验结果

Table 3. Results of vehicle road test on cement road

参考文献(10)

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