Optimization of Heavy Haul Train Operation Process Based on Coupler Constraints

被引：0
|
作者：
Fu Y.-T. [1 ,2 ]
Yuan J.-R. [1 ,2 ]
Li Z.-Q. [1 ,2 ]
Yang H. [1 ,2 ]
机构：
[1] School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang
[2] Key Laboratory of Advanced Control and Optimization of Jiangxi Province, Nanchang
来源：
Zidonghua Xuebao/Acta Automatica Sinica | 2019年 / 45卷 / 12期
基金：
中国国家自然科学基金;
关键词：
Adaptive genetic algorithm; Coupler constraints; Heavy haul train (HHT); Improved generalized predictive control; Multi-objective optimization;
D O I：
10.16383/j.aas.c190223
中图分类号：
学科分类号：
摘要：
Heavy haul train (HHT) equipped with concentrated power is a complicated heavy-load system that consists of several hundred carriages. The traction/braking force is transferred to carriages with couplers, which results in nonlinearity and hysteresis quality. The existing HHT is provided with manual operation mode and the driver cannot consider coupler constraints between carriages, which may lead to coupler broken and derailment. In addition, the running performance of HHT depends mainly on the drivers' manipulation experiences, which may result in large power consumption and unpunctuality. To address this issue, this paper conducts optimization research of HHT operation process to improve the operational performance of HHT in terms of safety, punctuality and energy saving. Firstly, with analyzing the mechanical principle and characteristic curves of coupler device, the coupler force model and vehicle longitudinal dynamic model can be figured out based on the " Zhai" numerical integration method. Secondly, considering coupler constraints, the multi-objective adaptive genetic algorithm is used to establish the ideal train speed curve by combining the constraints of actual railway routes (speed limit, ramps, curve rates, etc.). Finally, an operation optimizing controller is designed to implement the safe, punctual and energy-saving operation by tracking the ideal train speed curve based on the improved generalized predictive control method. The simulation results on the actual type-HXD1 HHT of the Daqin line show that the presented ideal train speed curve can better guarantee the safety, punctuality and energy saving of HHT, the operational optimization control method can ensure the excellent tracking performance of ideal train speed curve, which realizes the optimized operation of HHT. Copyright © 2019 Acta Automatica Sinica. All rights reserved.
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页码：2355 / 2365
页数：10
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