汽车DYC模糊PID控制方法

王伟达; 丁能根; 徐向阳; 张 为

汽车DYC模糊PID控制方法

北京航空航天大学交通科学与工程学院, 北京 100191

基金项目: 国家自然科学基金资助项目(50475003)

详细信息

作者简介:
王伟达(1980-),男,河北定州人,博士生,wangwd0430@163.com.

中图分类号: U 461.6
计量
- 文章访问数: 3609
- HTML全文浏览量: 159
- PDF下载量: 1401
- 被引次数: 0
出版历程
- 收稿日期: 2008-06-05
- 网络出版日期: 2009-07-31

Fuzzy-PID control method of vehicular DYC

School of Transportation Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

摘要

摘要: 直接横摆力矩控制DYC(Direct Yaw-Moment Control)是提高汽车操纵稳定性特性的重要方法,其研究对于提高汽车的主动安全性具有重要意义.在深入研究汽车操纵动力学和先进控制理论的基础上,设计了具有智能积分模块的模糊PID(Proportion-Integral-Differential)控制器,将该控制方法应用于DYC控制.建立了能够反映车辆转向工况基本动力学性质的车辆动力学模型,在Simulink环境下对开发的智能积分模糊PID控制器进行了仿真测试与分析.仿真结果验证了算法的可行性和有效性,表明智能积分模糊PID控制方法可以实现较为理想的DYC控制效果,在该领域具有良好的应用前景.
- 模糊控制 /
- 车辆操纵 /
- DYC控制 /
- Bialkowski结构
Abstract: Direct yaw-moment control (DYC) is a very important methodology of enhancing the vehicle stability, and its research is of great significance for improving the active safety of vehicle. Based on the in-depth study of the vehicular handling dynamics and the advanced control theories, a fuzzy-PID controller with intelligent integral module was designed and applied for the DYC control. The vehicular dynamic model reflecting the basic dynamic characters of steering situation and the fuzzy-PID controller with intelligent integral module was established and simulated in the circumstance of Simulink. The simulation results validate the feasibility and effectiveness of this control algorithm, and indicate that it can realize perfect control of DYC. This control strategy is of a good prospect in this field.
- fuzzy control /
- vehicles-steering /
- DYC control /
- Bialkowski structure

HTML全文

参考文献(1)

[1] Van Zanten A T. VDC, the vehicle dynamics control system of Bosch . SAE 950759,1995 [2] Van Zanten A T. Bosch ESP system: 5 years of experience . SAE 2000-01-1633,2000 [3] 贾豫东,宋健,孙群.用于电子稳定控制程序的汽车模型和控制策略[J].公路交通科技, 2004,21(5):132-136 Jia Yudong, Song Jian, Sun Qun. Dynamic model and control method for motor vehicle with electronic stability program[J]. Journal of Highway and Transportion Research and Development, 2004, 21(5): 132-136 (in Chinese) [4] 张宏兵,丁能根,王洪臣.基于协同仿真的单轨车辆动力学建模[J].北京航空航天大学学报, 2007, 33(6): 736-739 Zhang Hongbing, Ding Nenggen, Wang Hongchen. Modeling of single track vehicle-s dynamic based on co-simulation[J]. Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(6): 736-739 (in Chinese) [5] Zheng S B, Tang H J, Han Z Z, et al. Controller design for vehicle stability enhancement[J]. Control Engineering Practice, 2006, 14:1413-1421 [6] 崔胜民,林清芝.基于模糊控制的汽车ESP建模仿真[J].农业装备与车辆工程,2007(5):17-19 Cui Shengmin, Lin Qingzhi. Study of fuzzy controlling theory for automobile ESP[J]. Agricultural Equipment & Vehicle Engineering, 2007(5):17-19 (in Chinese) [7] Dugoff H, Fancher P S, Segel L. An analysis of the tyre traction properties and their influence on vehicle dynamic performance . SAE 700877, 1970 [8] Altrock G F, Krause B. Fuzzy logic and neurofuzzy technologies in embedded automotive applications . IEEE-0-7803-1485-9,1993 [9] 陶永华.新型PID控制及其应用[M].第2版.北京:机械工业出版社,2005:101-148 Tao Yonghua. New PID control and application[M]. 2nd ed. Beijing: China Machine Press, 2005:101-148 (in Chinese) [10] 李士勇.模糊控制·神经控制和智能控制论[M]. (第2版).哈尔滨:哈尔滨工业大学出版社, 1998:451-464 Li Shiyong. Fuzzy control, neural control and intelligent control[M]. 2nd ed. Harbin: University of Harbin Industry Press, 1998: 451-464 (in Chinese)

施引文献

资源附件(0)

访问统计