期刊文献+

阻尼非线性半主动悬架的建模与控制 被引量:7

Modeling and Control of Semi-active Suspension with Nonlinear Damping
在线阅读 下载PDF
导出
摘要 基于可调阻尼减振器的试验结果,拟合了可调阻尼减振器阻尼系数与步进电动机转角之间的非线性关系,建立了阻尼非线性半主动悬架数学模型,设计了模糊动态最优控制策略,研制了阻尼非线性半主动悬架系统控制器,在仿真的基础上,进行了实车道路试验。结果表明,阻尼非线性半主动悬架模型更接近实际模型,有效改善了车辆的乘坐舒适性、行驶安全性,协调了整车综合性能。 Based on the test results of tunable damper, the nonlinear relation was fitted between the damping and the angle of the stepping motor. The mathematical model of semi-active suspension with nonlinear damping was built and fuzzy dynamic optimal control strategy was designed. The controller of semiactive suspension with nonlinear damping was developed. On the basis of the simulation, the actual road test has been done. The results showed that the model of semi-active suspension with nonlinear damping was closer to the actual model, the comfort and the security were effeetively improved and vehicle performance was coordinated.
出处 《农业机械学报》 EI CAS CSCD 北大核心 2008年第12期14-17,共4页 Transactions of the Chinese Society for Agricultural Machinery
基金 国家自然科学基金资助项目(项目编号:50875112) 江苏大学高级人才启动资助项目(项目编号:07JDG039) 江苏省教育厅自然科学基金资助项目(项目编号:08KJB580001)
关键词 车辆 阻尼非线性 可调减振器 半主动悬架 Vehicle, Damping nonlinear, Tunable damper, Semi-active suspension
  • 相关文献

参考文献4

  • 1Mohamed B, Marc J. An optimization method designed to improve 3-D vehicle comfort and road holding capability through the use of active and semi-active suspensions[J]. European Journal of Mechanics A/Solids, 2001,20 (3) :509- 520.
  • 2Lee H S, Choi S B. Control and response characteristics of a magneto-rhelogical fluid damper for passenger vehicles[J]. Journal of Intelligent Material System and Structures, 2000, 11 ( 1 ) : 78 - 85.
  • 3郭大蕾,胡海岩.基于磁流变阻尼器的车辆悬架半主动控制研究——建模与直接自适应控制[J].振动工程学报,2002,15(1):10-14. 被引量:33
  • 4陈龙.车辆半主动悬架及其控制系统理论与技术研究[D].镇江:江苏大学,2006.

二级参考文献4

共引文献35

同被引文献73

  • 1李鸿光,何旭,孟光.Bouc-Wen滞回系统动力学特性的仿真研究[J].系统仿真学报,2004,16(9):2009-2011. 被引量:20
  • 2王辉,朱思洪.车辆半主动悬架神经网络自适应控制的研究[J].公路交通科技,2006,23(1):155-158. 被引量:2
  • 3陈家瑞.汽车构造[M].5版.北京:人民交通出版社,2007:262-263.
  • 4RONG Yiming, BAO Xiangying. An Automobile Semi-active Suspension System Using Neural Network Control and Simulation [ C]//Proceedings of the 2004 International Conference on Intelligent Mechatronics and Automation Chengdu, China August 2004 : 187-190.
  • 5ETXEBAMA V. Adaptive Control of Discrete Systems Using Neural Network [ J ]. IEEEProc-Control Theory Appol, 1994,141 (4) :209-214.
  • 6SUNGK J,HAN Y M,CHOJ W,et al. Vibration control of vehicle ER suspension system using fuzzy moving sliding mode controller [J]. Journal of Sound and Vibration, 2008, 311(3/4/5):1004-1019.
  • 7YAGIZ N, HACIOGLU Y. Backstepping control of a vehicle with active suspensions [J]. Control Engineering Practice, 2008, 16(12): 1457-1467.
  • 8YU M, DONG X M, CHOI S B, et al. Human simulated intelligent control of vehicle suspension system with MR dampers [J]. Journal of Sound and Vibration, 2009, 319(3/4/5):753 - 767.
  • 9DU H P,KAM Y S,LAM J. Semi-active Hoo control of vehicle suspension with rnagneto-rheological dampers [J]. Journal of Sound and Vibration, 2005, 283 (3/4/5) :981 - 996.
  • 10GRZEC, ORZ L, MAREK B, MICHEAL I F, et al. Chaotic vibration of a quarter-car model excited by the road surface profile [J ]. Communications in Nonlinear Science and Numerical Simulation, 2008,13(5) : 1373 - 1383.

引证文献7

二级引证文献83

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部