Research of Pantograph-Catenary Active Vibration Control System Based on NARMA-L2 Model

被引：1

作者：

Liu, Shibing ^{[1
]}

Wu, Lei ^{[2
]}

Zhu, Xuelong ^{[1
]}

机构：

[1] East China JiaoTong Univ, Sch Elect & Elect Engn, 808 Shuanggang Dongdajie, Nanchang, Jiangxi, Peoples R China

[2] China Railway Shanghai Design Inst Grp Co Ltd, 291 Middle Tianmu Rd, Shanghai, Peoples R China

来源：

PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON ELECTRICAL AND INFORMATION TECHNOLOGIES FOR RAIL TRANSPORTATION: ELECTRICAL TRACTION | 2016年 / 377卷

关键词：

Pantograph-catenary; Neural network; Active vibration control; NARMA-L2; Simulation research;

D O I：

10.1007/978-3-662-49367-0_77

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Single catenary system model and three-dimensional mass model of pantograph system were established, and kinetic equation was given in this paper. NARMA-L2 neural network model was introduced and applied to the pantograph-catenary vibration control system, and an active control proposal was designed. Simulation research was done as to the effect of controller for speed of 200 km h(-1), 250 km h(-1), and 300 km h(-1). Also the simulation gets pantograph-catenary contact force and pantograph uplift curve, simulation data were analyzed from four aspects maximum, minimum, average, and standard deviation. Comparative results show that compared with the control without NARMA-L2 model, standard deviation of pantograph-catenary contact force and pantograph uplift is lower much at the set speed. Therefore, pantograph vibration control system based on NARMA-L2 neural network can greatly reduce the vibration amplitude of pantograph-catenary and enhanced pantograph-catenary coupling, thus achieved more stable pantograph-catenary contact and better current collection.

引用

页码：803 / 810

页数：8

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