[1]黄玉萍,江 伟,佟景泉,等. 基于LSSVM的地铁弓网系统广义动态建模与仿真[J].机车电传动,2017,(05):1.[doi:10.13890/j.issn.1000-128x.2017.05.110]
 HUANG Yuping,JIANG Wei,TONG Jingquan,et al. Simulation and Generalized Dynamic Modeling of Metro Pantograph-Catenary System Based on Least Squares Support Vector Machine[J].Electric Drive for Locomotives,2017,(05):1.[doi:10.13890/j.issn.1000-128x.2017.05.110]
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 基于LSSVM的地铁弓网系统广义动态建模与仿真()
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机车电传动[ISSN:1000-128X/CN:43-1125/U]

卷:
期数:
2017年05期
页码:
1
栏目:
城市轨道车辆
出版日期:
2017-09-10

文章信息/Info

Title:
 Simulation and Generalized Dynamic Modeling of Metro Pantograph-Catenary System Based on Least Squares Support Vector Machine
作者:
 黄玉萍江 伟佟景泉史陆星
 (广东交通职业技术学院 轨道车辆系,广东 广州 510650)
Author(s):
HUANG Yuping JIANG Wei TONG Jingquan SHI Luxing
 ( Guangdong Communication Polytechnic, Guangzhou, Guangdong 510650, China )
关键词:
最小二乘支持向量机弓网系统动态建模ARX Hammerstein模型弓网接触力
Keywords:
 LSSVM pantograph-catenary system dynamic modeling ARX Hammerstein model pantograph-catenary contact force
分类号:
U231;U264.3+4;U225.3
DOI:
10.13890/j.issn.1000-128x.2017.05.110
文献标志码:
A
摘要:
 提出基于最小二乘支持向量机(LSSVM)的弓网系统广义动态建模方法,并对弓网模型进行辨识及仿真研究。首先对离散化后的弓网系统动力学模型的线性部分和非线性部分进行分析,构建ARX Hammerstein弓网系统模型,然后根据LSSVM的方法对模型参数进行辨识,最后利用弓网实际检测数据对该弓网模型进行弓网接触力的建模预报试验。试验结果表明,LSSVM-ARX Hammerstein弓网模型可以有效地逼近弓网系统接触力的动态行为,具有较高的预报精度,从而验证了所提方法用于弓网系统广义动态建模的有效性。
Abstract:
 A Generalized dynamic modeling method was proposed for pantograph-catenary system based on least square support machine (LSSVM), and the pantograph-catenary model identification and simulation were carried out. Firstly, the ARX Hammerstein pantograph-catenary model was built after analyzing linear and nonlinear partial section of the discrete pantograph-catenary system dynamic model. Secondly the model parameters were identified based on the method of LSSVM. Finally, the pantograph-catenary contact force was modeled and predicted by the actual testing data. The simulation results showed that LSSVM-ARX Hammerstein pantograph-catenary model could effectively approximate the dynamic behavior of the contact force in pantograph-catenary system with higher prediction accuracy. The proposed method was effective in train pantograph-catenary system generalized dynamic modeling.

参考文献/References:

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备注/Memo

备注/Memo:
 作者简介:黄玉萍(1989-),女,硕士,主要研究方向为轨道交通控制及弓网建模。
更新日期/Last Update: 2017-09-08