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Freight train operation curve optimization method based on improved multi-target grey wolf algorithm

A multi-objective optimization, freight train technology, applied in the field of train automatic driving, can solve problems such as inability to accurately describe the train running process, ignoring the interaction force between vehicles, not considering the coupling relationship between vehicles, etc., to optimize the running curve and smooth the switching process. , the effect of running on time

Inactive Publication Date: 2021-03-16
XIANGTAN UNIV
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AI Technical Summary

Problems solved by technology

The traditional single-mass model ignores the interaction force between vehicles, does not consider the coupling relationship between vehicles, and cannot accurately describe the actual running process of the train. However, the train coupler force is very important for the safe operation of the train

Method used

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  • Freight train operation curve optimization method based on improved multi-target grey wolf algorithm
  • Freight train operation curve optimization method based on improved multi-target grey wolf algorithm
  • Freight train operation curve optimization method based on improved multi-target grey wolf algorithm

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Embodiment Construction

[0049] The invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0050] Such as figure 1 As shown, the invention provides a cargo train operating curve optimization method based on improved multi-target gray wolf algorithm, and establishes freight train based on speed adaptive homogeneous rod model and multi-quality model. According to the operating state change, use the speed transform formula to ensure smoothness of the entire switching process. Construction of the vehicle's hook buffer modeling and multi-objective optimization model. The use of improved multi-target gray wolf algorithm to establish a train optimization manipulation model, ensuring the distribution and convergence of the algorithm, and obtains the train operation optimization curve.

[0051] Such as figure 2 As shown, the invention can be verified by simulation, including the following steps:

[0052] Step 1: Analyze the operation of the freig...

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Abstract

The invention discloses a freight train operation curve optimization method based on an improved multi-target grey wolf algorithm. A homogeneous rod model and a multi-particle model based on speed self-adaption of the freight train are established according to parameter changes when the train passes through a ramp and a curve in the running process. As the coupler force of a freight train is usually large, the phenomenon of coupler breaking is likely to happen, and therefore modeling of a buffer between trains is considered. In combination with constraint conditions of a line, safety coupler force, operation time and energy consumption of a train are comprehensively considered as constraints of multi-objective optimization, driving comfort, parking accuracy and speed limiting conditions. And according to the train operation indexes and the limiting conditions of the operation road conditions, an improved multi-target grey wolf algorithm is used for researching the optimal operation working condition sequence. For the complex nonlinear train operation process, the train operation curve can be optimized through the method, and safe, energy-saving and punctual operation of the train is achieved.

Description

Technical field [0001] The present invention relates to the operation of the freight train operation process model switching and operation curve optimization, belonging to the automatic driving technology of the train. Background technique [0002] Railway transportation is an important part of modern transportation, and the development of freight trains is in the ascendant. The prospect is broad. The freight train has the advantages of large volume, fast speed, low energy consumption, low cost, high security, and strong sense of safety, showing huge advantages on transporting goods. However, the energy consumption required for the freight train is not small. In order to achieve energy conservation and emission reduction of the railway system, it is necessary to conduct research on the energy saving of freight train. At the same time, due to the continuous increase in freight train, the transportation safety problem of the train begins highlighting, such as car hook hooks, hinder...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/15G06F30/27G06N3/00G06F111/06G06F119/14
CPCG06F30/15G06F30/27G06N3/006G06F2111/06G06F2119/14
Inventor 易灵芝张大可刘江永段仁哲陈智勇范朝冬
Owner XIANGTAN UNIV
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