基于Broyden秩1算法的磁浮列车再生制动分析

doi:10.16265/j.cnki.issn1003-3033.2018.S1.004

中国安全科学学报 ›› 2018, Vol. 28 ›› Issue (S1): 17-21.doi: 10.16265/j.cnki.issn1003-3033.2018.S1.004

基于Broyden秩1算法的磁浮列车再生制动分析

安邦¹, 郭艺丹², 赵磊²

1 61618部队, 北京 100062
2 国家铁路局装备技术中心, 北京 100036

收稿日期:2018-03-06 修回日期:2018-05-16 出版日期:2018-06-30 发布日期:2020-11-20
作者简介:安邦 (1990—),男,内蒙古赤峰人,硕士,助理工程师,主要从事地理环境信息、轨道交通技术等方面的研究。E-mail: andy_nudt@163.com。

Analysis of regenerative braking of maglev train based on Broyden rank 1 algorithm

AN Bang¹, GUO Yidan², ZHAO Lei²

1 61618 Troops, Beijing 100062, China
2 Equipment Technology Center, National Railway Administration, Beijing 100036, China

Received:2018-03-06 Revised:2018-05-16 Online:2018-06-30 Published:2020-11-20

摘要/Abstract

摘要： 为更好地了解中低速磁浮列车再生制动时电网电压的变化状况,在分析中低速磁浮列车用直线感应电机特性的基础上,建立中低速磁浮列车再生制动动态网络仿真模型,并解算描述模型产生的大量非线性方程组;同时,为保持目标函数Hesse矩阵正定,采用改进的拟牛顿算法即Broyden秩1算法,以北京磁浮交通S1线工程为解算对象,计算分析列车稳定运行时牵引电网电压的变化状况。结果表明:与目前大量采用的传统Newton Raphson 算法不同,Broyden秩1算法对迭代计算的初值要求不高,并且能够有效提高收敛速度,同时抑制了仿真计算结果的发散。

关键词: 磁浮列车, 牵引供电, 再生制动, Broyden秩1算法

Abstract: On the basis of analyzing feature of middle and low speed linear induction motor for maglev train, the simulated model of regenerate breaking dynamic network for middle and low speed maglev train was studied and dynamic net simulation model was established and the massive nonlinear equations were calculated thus g knowing the variation of grid voltage transformation during regenerate breaking. In order to maintain matrix positive for object function Hesse, improved Broyden rank 1 algorithm was adopted and Beijing maglev S1 line project was used as calculating object and the grid voltage variation rate on occasion of stable motion was calculated on. The results show that Broyden rank 1 algorithm requires low initial value of iterative computation with comparison of traditional Newton-Raphson method. The convergence rate is improved effectively and the divergence of simulated calculation results is restrained.

Key words: maglev train, traction power supply, regenerative braking, Broyden rank 1 algorithm

中图分类号:

X913.4

安邦, 郭艺丹, 赵磊. 基于Broyden秩1算法的磁浮列车再生制动分析[J]. 中国安全科学学报, 2018, 28(S1): 17-21.

AN Bang, GUO Yidan, ZHAO Lei. Analysis of regenerative braking of maglev train based on Broyden rank 1 algorithm[J]. China Safety Science Journal, 2018, 28(S1): 17-21.

参考文献

[1] 赵荣华, 杨中平, 郑琼林. 直线电机轨道交通地面电阻制动的研究[J]. 都市快轨交通, 2007, 20(6): 45-49.
ZHAO Ronghua, YANG Zhongping, ZHENG Qionglin. Research on grounding rheostatic braking of linear motor urban rail transit[J]. Urban Rapid Rail Transit, 2007, 20(6): 45-49.
[2] 张明. 应用数值分析[M]. 北京: 石油工业出版社, 2012: 30-37.
[3] 龙遐令. 直线感应电机等值电路的通用推导方法[J]. 电工技术学报, 1993, 7(4): 55-60.
LONG Xialing. A general method driving equivalent circuit of linear induction motor[J]. Journal of Electrotechnics, 1993, 7(4): 55-60.
[4] NONAKA S, HIGUCHI T. Design of single-sided linear induction motors for urban transit[J]. Vehicular Technology IEEE Transactions on, 1988, 37(3): 167-173.
[5] NOUIR N B, ESCHBACH M L, PIÉDAVENT M, et al. Equivalent circuit of linear induction motors with end effect taken into account[J]. Electrical Engineering in Japan, 1980, 100(2): 65-71.
[6] 陈贵荣, 刘少克. 唐山中低速磁悬浮列车试验线地面再生制动能量吸收装置的设计[J]. 机车电传动, 2008(2): 38-43.
CHEN Guirong, LIU Shaoke. Design of energy absorption unit of ground regenerative braking in Tangshan test line of mid-to-low speed maglev vehicle[J]. Electric Drive for Locomotives, 2008(2): 38-43.
[7] 陈建国, 方鸣, 张云太. 城轨列车再生制动电流的计算[J]. 现代城市轨道交通, 2008(1): 39-42.
CHEN Jianguo, FANG Ming, ZHANG Yuntai. Calculation of regenerative braking current of urban rail vehicles[J]. Modern Urban Transit, 2008(1): 39-42.
[8] 李鲲鹏, 张振生. 广州地铁4号线地面制动电阻的设计[J]. 机车电传动, 2005(5): 43-53
LI Kunpeng, ZHANG Zhensheng. Design of ground braking resistor in Guangzhou metro line 4. [J]. Electric Drive for Locomotives, 2005(5): 43-53.
[9] 陈贵荣. 唐山中低速磁悬浮列车试验线牵引供电系统[J]. 机车电传动, 2007(5): 37-40.
CHEN Guirong. Traction power supply system of test line for mid-to-low speed maglev vehicles in Tangshan[J]. Electric Drive for Locomotives, 2007(5): 37-40.
[10] 张文丽. 城市轨道交通供电再生制动反馈能量利用仿真研究[D]. 成都: 西南交通大学, 2008.
ZHANG Wenli. Simulation on the utilization of feedback energy of urban rail transmit under regenerative braking condition[D]. Chengdu: Southwest Jiaotong University, 2008.
[11] 赵荣华, 杨中平, 郑琼林. 城轨列车设置地面制动电阻的仿真研究[J]. 城市轨道交通研究, 2008, 11(9): 58-62.
ZHAO Ronghua, YANG Zhongping, ZHENG Qionglin. Shnulation of ground rheostatic braking in URT[J]. Research on Urban Rail Transit, 2008, 11(9): 58-62.
[12] 饶攀, 刘少克. 低速磁悬浮列车牵引计算算法研究[J]. 机车电传动, 2012(5): 66-69.
RAO Pan, LIU Shaoke. Traction calculation algorithm research for low-speed maglev train[J]. Electric Drive for Locomotives, 2012(5): 66-69.
[13] 陈露, 马驷. 城市轨道交通网络运营安全问题的复杂多属性决策方法[J]. 中国安全科学学报, 2013, 23(4): 146-151.
CHEN Lu, MA Si. A complex multi-attributes decision-making method for addressing urban rail transit network operation safety issue[J]. China Safety Science Journal, 2013, 23(4): 146-151.

基于Broyden秩1算法的磁浮列车再生制动分析

Analysis of regenerative braking of maglev train based on Broyden rank 1 algorithm

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