期刊文献+

汽车主动悬架系统的最优跟踪控制 被引量:4

Optimal Tracking Control for Vehicle Active Suspension Systems
下载PDF
导出
摘要 研究汽车主动悬架系统的线性二次型最优跟踪控制问题。基于两自由度1/4汽车悬架主动控制模型,通过利用参考输入外系统的状态来构造前馈控制作用,得到了系统的最优跟踪控制律。该跟踪控制律由状态反馈项和前馈补偿项构成,前馈增益可以通过求解矩阵方程得到。仿真算例表明了采用前馈反馈控制方法进行悬架系统最优跟踪设计的有效性。 A linear quadratic optimal tracking control problem of vehicle active suspension systems was considered. A two-degree-of-freedom quarter-car model with active suspension system was considered. By using state of the reference input exosystem to construct feedforward control action, the active optimal tracking control law was obtained. The optimal tracking control law consists of a feedback term and feedforward terms which can be obtained by solving matrix differential equations. The effectiveness of the proposed control law design method was illustrated by a numerical simulation.
作者 张宝琳
出处 《系统仿真学报》 CAS CSCD 北大核心 2009年第2期551-553,共3页 Journal of System Simulation
基金 国家自然科学基金项目(60874029) 浙江省自然科学基金项目(Y107232) 浙江省教育厅科研项目(Y200702660) 中国计量学院123人才资助计划项目(2006RC17)
关键词 线性系统 汽车悬架 主动控制 最优跟踪控制 前馈控制 linear system automobile suspension active control optimal tracking control feedforward control
  • 相关文献

参考文献5

二级参考文献28

  • 1支龙,昌放辉,陈立平,张云清.汽车半主动悬架的ADAMS和MATLAB联合仿真[J].自动化与仪表,2004,19(6):43-45. 被引量:11
  • 2管继富,顾亮,侯朝桢,王国丽.履带式车辆半主动悬挂系统的建模与仿真[J].兵工学报,2005,26(1):1-5. 被引量:6
  • 3马岳峰,刘昭度,宋明,张景波.轿车ASR的ADAMS/CAR和MATLAB联合仿真[J].计算机仿真,2005,22(4):100-104. 被引量:11
  • 4GASPAR P.Model-based H2/H∞ control design for uncertain dynamic system [J].IEEE Trans on Automatic Control,1999,56(3):353-359.
  • 5诸静.模糊控制原理与应用[M].北京:机械工业出版社,1998..
  • 6M.V.C. Rao^*, V. Prahlad. A tunable fuzzy logic controller for vehicle-active suspension systems [J]. Fuzzy Sets and Systems,(S0165-0114), 1997, 85(1), 11-21
  • 7Shann JJ, Fu HC. A fuzzy neural network for rule acquiring on fuzzy control system [J]. Fuzzy Sets and Systems (S0165-0114), 1995,71,(3), 345-357.
  • 8T. Pal., N. R. Pal. On rule pruning using fuzzy neural networks [J].Fuzzy Sets and Systems (S0165-0114), 1999, 106 (3): 335-347.
  • 9T. C. Chin, X. M. Qi. Genetic algorithms for learning the rule base of fuzzy logic controller [J]. Fuzzy Sets and Systems (S0165-0114),1998, 97(1): 1-7.
  • 10Ahmet Arslan, Mehmet Kaya. Determination of fuzzy logic membership functions using genetic algorithms [J]. Fuzzy Sets and Systems (SO 165-0114), 2001, 118(2): 297-306.

共引文献79

同被引文献38

引证文献4

二级引证文献14

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