Research on Application of PID Control Algorithm of Expert System Based on ATO Operation Scenario of Freight Locomotive

Haixing HE; Jinlei BAI; Kaibing DU; Jiayuan XIONG; Junzhen CAI; Fei CHEN

doi:10.13890/j.issn.1000-128x.2021.04.018

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Research on Application of PID Control Algorithm of Expert System Based on ATO Operation Scenario of Freight Locomotive

Intelligent Technology | 更新时间：2021-12-09

- Research on Application of PID Control Algorithm of Expert System Based on ATO Operation Scenario of Freight Locomotive
- Electric Drive for Locomotives Issue 4, Pages: 112-118(2021)
- 作者机构：
  
  1.中车株洲电力机车研究所有限公司，湖南　株洲　412001
  2.中国铁路西安局集团有限公司　安康机务段，陕西　安康　725005
- 作者简介：
- 基金信息：
- DOI：10.13890/j.issn.1000-128x.2021.04.018
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Haixing HE, Jinlei BAI, Kaibing DU, et al. Research on Application of PID Control Algorithm of Expert System Based on ATO Operation Scenario of Freight Locomotive. [J]. Electric Drive for Locomotives (4):112-118(2021)
DOI：

Haixing HE, Jinlei BAI, Kaibing DU, et al. Research on Application of PID Control Algorithm of Expert System Based on ATO Operation Scenario of Freight Locomotive. [J]. Electric Drive for Locomotives (4):112-118(2021) DOI： 10.13890/j.issn.1000-128x.2021.04.018.

摘要

针对驾驶货运机车劳动强度大和操纵难等问题，提出一种分场景的目标曲线规划方法，设计专家系统比例积分微分（Proportion Integral Differential，PID）控制算法，实时跟随并迭代优化目标曲线，实现了货运机车自动驾驶（Automatic Train Operation, ATO）功能。针对试验中的重点难点控制场景进行了验证研究，结果表明控制方法安全有效。

Abstract

Aiming at the problems of high-labor intensity and difficult operation of freight locomotive, a scenario-specific objective curve planning method was proposed, and the proportional-integral-differential (PID) control algorithm of expert system was designed to follow and optimize iteratively the objective curve in real time. The automatic train operation (ATO) function of freight locomotive was realized. The key and difficult control scenarios in the experiment were verified, and the results show that the control method is safe and effective.

关键词

自动驾驶运行场景PID控制算法货运机车仿真

Keywords

automatic train operationoperation scenarioPID control algorithmfreight locomotivesimulation

references

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