A heavy haul train operation curve multi-objective optimization method based on a hook buffer device model

A technology for heavy-duty trains and running curves, applied in genetic models, special data processing applications, instruments, etc., can solve problems such as not considering whether the coupler force exceeds the limit, no phase separation point research, etc., to maintain population diversity, Optimizing the running curve and the effect of energy-saving operation

Active Publication Date: 2019-05-21
EAST CHINA JIAOTONG UNIVERSITY +1
View PDF7 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when most studies study the multi-objective operation optimization of heavy-duty trains, the safety only considers the speed limit, and does not consider whether the coupler force exceeds the limit. At the same time, it does not combine the phase-splitting points existing in the actual operating line for research.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A heavy haul train operation curve multi-objective optimization method based on a hook buffer device model
  • A heavy haul train operation curve multi-objective optimization method based on a hook buffer device model
  • A heavy haul train operation curve multi-objective optimization method based on a hook buffer device model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0054] The present invention will be described in detail below in conjunction with specific embodiments.

[0055] In the present invention, based on the multi-objective self-adaptive genetic algorithm, the optimization steps of the operation process of the heavy-duty train are as follows:

[0056] 1. Analyze the dynamic model during the operation of heavy-duty trains, such as figure 1 As shown, the longitudinal dynamic force of a single vehicle is analyzed, and the dynamic model of the motion process can be expressed as:

[0057]

[0058] In the formula, m i is the mass of the vehicle; is the acceleration of the vehicle; F T is the traction force, F D is the electric braking force; F CL is the front coupler force; F CR is the rear coupler force; F B is the air braking force; F W is the basic resistance of the vehicle running; F Wc is the curve resistance; F Wr is the ramp resistance.

[0059] 2. Establish the model of the coupler buffer device. In the dynamic s...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a heavy haul train operation curve multi-objective optimization method based on a hook buffer device model. Based on running line constraint conditions of the heavy haul train,a dynamic longitudinal dynamics model and a hook buffer device model in the train operation process are established; A multi-objective genetic algorithm is used to establish a train optimization control model. meanwhile, the premature phenomenon of the genetic algorithm is considered, the genetic algorithm parameters are dynamically adjusted through the self-adaptive algorithm, the self-adaptivegenetic algorithm combining the self-adaptive algorithm and the genetic algorithm can keep the population diversity, meanwhile, the convergence of the genetic algorithm is guaranteed, and a train operation optimization curve is obtained. For a complex nonlinear heavy haul train operation process, a dynamic longitudinal dynamics model and a hook buffer device model of the train operation process are established, a train optimization operation model is established by applying a multi-objective genetic algorithm, a train operation curve is optimized, and safe, punctual and energy-saving operationof a train is realized.

Description

technical field [0001] The invention relates to a heavy-duty train running process modeling and running curve optimization method, and belongs to the technical field of heavy-duty train running process monitoring and automatic control. Background technique [0002] Heavy-duty trains have the advantages of large capacity, high speed, low energy consumption, low cost, and all-weather, and show great advantages in high efficiency and low cost in transporting bulk cargo. However, with the continuous increase of traction weight, the operation mode of heavy-haul trains has also changed, and the transportation safety problems of heavy-haul trains have gradually become prominent. Problems such as brake failure and vehicle hook breakage continue to occur, which seriously restrict the development of heavy-haul railway transportation. . [0003] It is the most basic requirement for the safe operation of the train that the train does not run at overspeed, and the couplers are constantl...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N3/12
Inventor 付雅婷原俊荣刘鸿恩李中奇罗显光孙俊勇杨辉
Owner EAST CHINA JIAOTONG UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products