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列车横向半主动悬挂系统变论域模糊控制

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列车横向半主动悬挂系统变论域模糊控制 第21卷第12期
2013年12月文章编号
1004-924X(2013)12-3298-10
光学精密工程
Optics and Precision Engineering
Vol.21No.12
Dec.2013
列车横向半主动悬挂系统变论域模糊控制
李广军1*,金炜东,陈春俊2
(1.西南交通大学电气工程学院,四川成都610031;2.西南交通大学机械工程学院,四川成都610031)摘要:针对复杂的列车横向模型,设计了半主动悬挂变论域模棚控制器。介绍了变论域模棚控制的基本原理,推广了它的收敛条件,并证明其适用于列车横向悬挂系统。给出了17自由度的列车动力学模型,利用Simulink软件建立了列车横向模型。最后,以列车横向速度和加速度作为模棚控制器的输人变量,以阻尼器电流作为模糊控制器的输出变量,设计了潜遗传变论域模糊控制器,并进行了仿真实验。根据实验结果计算了列车横向加速度的最大值、均方根值和功率谱密度最大值,并对变论域模糊控制、普通的模棚控制和被动悬挂进行了对比。仿真结果表明;变论域模糊控制降低了列车横向加速度最大值、均方根值和功率谱密度最大值,控制结果好于普通的模糊控制和被动悬挂。
键关
词:列车;横向半主动悬挂;被动悬桂;变论城模棚控制;加速度均方根值;功率谱害度函数
中图分类号:TP273.4;U270.11
文嵌标识码:A
doi;10.3788/OPE,20132112.3298
Variable universe fuzzy control of train lateral semi-active suspension system
LI Guang-jun'',JIN Wei-dong',CHEN Chun-jun
(l.School of Electrical Engineering,Southwest Jiaotong University,Chengdu 610031,China; 2.School of Mechanical Engineering,Southwest JiaotongUniversity,Chengdu 61003l,China)
Correspondingauthor,E-mail:.rzso23@126.com
Abstract: A variable universe fuzzy controller was designed for the lateral semi-active suspension sys tem of a train. The convergence condition of variable universe fuzzy was given more widely, which was confirmed to be suitable for the suspension system of train. Then, the lateral model of a 17-DOF vehicle was built by Simulink software based on the theory of dynamics, Finally, a potentially-inheri-ted variable universe fuzzy controller was designed by taking the lateral acceleration and velocity of the suspension as the input variables of controller and the damper current as the output variable of con-troller. A simulation experiment was carried out at the same time, the max value, root mean square and power spectrum density function's max value of the lateral acceleration were calculated, and the results obtained from the variable universe fuzzy controller, traditional controller and the passive sus-pension were compared. The simulation results show that those data mentioned above have been de-creased, which means that the control results by variable universe fuzzy control are better than those ofconventional fuzzy control andpessivesuspension.
收稿日期:2013-06-08;修订日期:2013-07-01.
基金项目:国家自然科学基金重点项目(No,61134002);中央高校基本科研业务费专项资金资助项目(No.
SWJTU12CX038)
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