列车受电弓振动控制方法研究
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摘要
针对列车受电弓振动控制方法进行研究。针对二元受电弓模型,建立基于牛顿第二定律的动力学方程。采用磁流变阻尼器对弓网接触力波动进行控制。采用变论域模糊控制器作为控制算法。仿真研究结果表明:随着列车运行速度的提高,弓网接触力波动越明显,研究的受电弓振动控制方法相比传统的模糊控制以及被动控制方法作用下接触力不平均系数明显降低。将磁流变阻尼器安装于上框架与弓头之间工况相比安装于框架底座与下框架之间时,接触力不平均系数有所降低,弓网接触力波动更低。
In this paper, the vibration control method of train pantograph is studied. A dynamic equation based on Newton's second law is established for the two element pantograph model. Magneto rheological damper is used to control the contact force fluctuation of pantograph catenary. A variable universe fuzzy controller is adopted as the control algorithm. The simulation results show that with the increase of train speed, contact force fluctuation is more obvious, this paper studies the power control method of arch vibration compared with the traditional fuzzy control and passive control method under the action of the contact force is not the average coefficient. When the magneto rheological damper is installed between the upper frame and the bow head, the contact force between the frame and the lower frame is lower than that of the lower frame, and the contact force of the pantograph catenary fluctuates less.
In this paper, the vibration control method of train pantograph is studied. A dynamic equation based on Newton's second law is established for the two element pantograph model. Magneto rheological damper is used to control the contact force fluctuation of pantograph catenary. A variable universe fuzzy controller is adopted as the control algorithm. The simulation results show that with the increase of train speed, contact force fluctuation is more obvious, this paper studies the power control method of arch vibration compared with the traditional fuzzy control and passive control method under the action of the contact force is not the average coefficient. When the magneto rheological damper is installed between the upper frame and the bow head, the contact force between the frame and the lower frame is lower than that of the lower frame, and the contact force of the pantograph catenary fluctuates less.
引文
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[9] 钱立军,邱利宏,陈朋. 基于模糊PID扭矩识别的混合动力汽车优化控制[J]. 中国机械工程,2015,26(13):1752-1759.QIAN LiJun, QIU LiHong, CHEN Peng. Optimal control of a hybrid electric vehicle based on fuzzy-pid torque identification[J]. China Mechanical Engineering,2015,26(13):1752-1759(In Chinese).
[10] 李良峰. 变论域模糊控制算法研究[D].成都:电子科技大学,2008:64-78.LI LiangFeng. Research on variable universe fuzzy control algorithm [D]. Chengdu:University of Electronic Science and Technology of CHINA, 2008:64-78 (In Chinese).
[11] 崔家瑞,李擎,张波等. 永磁同步电机变论域自适应模糊PID控制[J]. 中国电机工程学报,2013,33(S1):190-194.CUI JiaRui, LI Qing, ZHANG Bo, et al. Permanent magnet synchronous motor of variable universe adaptive fuzzy pid control[J].Proceedings of the CSEE,2013,33(S1):190-194(In Chinese).
[2] 李丰良,李敏,唐建湘. 受电弓的建模与参数测试[J]. 中南大学学报(自然科学),2006,37(1):194-199.LI FengLiang, LI Min, TANG JianXiang. Establishment of the pantographs mechanical models and measurement of their parameters. J. CENT. SOUTH UNIV. (Science and Technology),2006,37(1):194-199(In Chinese).
[3] 张卫华. 高速列车耦合大系统动力学研究[J]. 中国工程科学,2015,17(04):42-52.ZHANG WeiHua. Study on dynamics of coupled systems in high-speed trains[J]. Engineering Sciences, 2015,17(4):42-52(In Chinese).
[4] 周宁,邹欢,邹栋,等. 基于刚性接触网的城市轨道交通弓网系统模型适应性研究[J].西南交通大学学报,2017,52(2):12-16.ZHOU Ning, ZOU Huan, ZOU Dong, et al. Investigation on the applicability of pantograph and catenary model for the rigid catenary system[J].Journal of Southwest Jiaotong University,2017,52(2):12-16(In Chinese).
[5] 张卫华. 高速铁路受电弓/接触网系统的混合仿真及非线性控制研究[J]. 学术动态,2002(1):15-17.ZHANG WeiHua. Hybrid simulation and nonlinear control of pantograph / catenary system for high speed railway [J]. Academic Developments, 2002 (1): 15-17(In Chinese).
[6] 郭凤仪,王贺,王智勇等. 弓网系统动态接触压力特性[J]. 辽宁工程技术大学学报(自然科学版),2017,36(6):640-644.GUO FengYi, WANG He, WANG ZhiYong, et al. Study on dynamic contact force of pantograph catenary system [J]. Journal of Liaoning Technical University(Natural Science),2017,36(6):640-644(In Chinese).
[7] 郭朝阳. 磁流变液法向力及减振器研究[D].合肥:中国科学技术大学,2013:78-105.GUO ChaoYang. Study on normal force of magnetorheological fluid and magnetorheological damper[D].Hefei:University of Science and Technology of China,2013:78-105 (In Chinese).
[8] 宗路航. 磁流变阻尼器的动力学模型及其在车辆悬架中的应用研究[D]. 合肥:中国科学技术大学,2013:83-94.ZONG LuHang. Magnetorheological dampers:dynamic models and application in vehicle suspensions[D]. Hefei:University of Science and Technology of China,2013:83-94 (In Chinese).
[9] 钱立军,邱利宏,陈朋. 基于模糊PID扭矩识别的混合动力汽车优化控制[J]. 中国机械工程,2015,26(13):1752-1759.QIAN LiJun, QIU LiHong, CHEN Peng. Optimal control of a hybrid electric vehicle based on fuzzy-pid torque identification[J]. China Mechanical Engineering,2015,26(13):1752-1759(In Chinese).
[10] 李良峰. 变论域模糊控制算法研究[D].成都:电子科技大学,2008:64-78.LI LiangFeng. Research on variable universe fuzzy control algorithm [D]. Chengdu:University of Electronic Science and Technology of CHINA, 2008:64-78 (In Chinese).
[11] 崔家瑞,李擎,张波等. 永磁同步电机变论域自适应模糊PID控制[J]. 中国电机工程学报,2013,33(S1):190-194.CUI JiaRui, LI Qing, ZHANG Bo, et al. Permanent magnet synchronous motor of variable universe adaptive fuzzy pid control[J].Proceedings of the CSEE,2013,33(S1):190-194(In Chinese).