基于货运机车ATO运行场景的专家系统PID控制算法应用研究

何海兴; 白金磊; 杜凯冰; 熊佳远; 蔡君祯; 陈飞

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

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基于货运机车ATO运行场景的专家系统PID控制算法应用研究

智能化技术 | 更新时间：2021-12-09

- 基于货运机车ATO运行场景的专家系统PID控制算法应用研究
- Research on Application of PID Control Algorithm of Expert System Based on ATO Operation Scenario of Freight Locomotive
- 机车电传动 2021年第4期页码：112-118
- 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：
  
  何海兴（1981—），男，高级工程师，主要从事机车自动驾驶控制算法和矿用卡车系统技术研究工作；E-mail:hehx@csrzic.com
- 基金信息：
  
  国铁集团重大课题(K2018J019)
- DOI：10.13890/j.issn.1000-128x.2021.04.018
  中图分类号：
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何海兴, 白金磊, 杜凯冰, 等. 基于货运机车ATO运行场景的专家系统PID控制算法应用研究[J]. 机车电传动, 2021,(4):112-118.

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, 2021,(4):112-118.
何海兴, 白金磊, 杜凯冰, 等. 基于货运机车ATO运行场景的专家系统PID控制算法应用研究[J]. 机车电传动, 2021,(4):112-118. DOI： 10.13890/j.issn.1000-128x.2021.04.018.

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, 2021,(4):112-118. 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

王帅, 安中正, 白晶, 等. 万吨重载列车的平稳操纵[J]. 机车电传动, 2005(6): 60-61.

WANG Shuai, AN Zhongzheng, BAI Jing, et al. Stable operation of 10k ton heavy load train[J]. Electric Drive for Locomotives, 2005(6): 60-61.

胡寿松, 王执铨, 胡维礼. 最优控制理论与系统[M]. 北京: 科学出版社, 2010.

HU Shousong, WANG Zhiquan, HU Weili. Optimal control theory and system[M]. Beijing: Science Press, 2010.

王青元, 冯晓云, 朱金陵, 等. 考虑再生制动能量利用的高速列车节能最优控制仿真研究[J]. 中国铁道科学, 2015, 36(1): 96-103.

WANG Qingyuan, FENG Xiaoyun, ZHU Jinling, et al. Simulation study on optimal energy-efficient control of high speed train considering regenerative brake energy[J]. China Railway Science, 2015, 36(1): 96-103.

ALBRECHT A R, HOWLETT P G, PUDNEY P J, et al. Energy-efficient train control: from local convexity to global optimization and uniqueness[J]. Automatica, 2013, 49(10): 3072-3078.

KHMELNITSKY E. On an optimal control problem of train operation[J]. IEEE Transactions on Automatic Control, 2000, 45(7): 1257-1266.

ALBRECHT A R, HOWLETT P G, PUDNEY P J, et al. The key principles of optimal train control-part 1: formulation of the model, strategies of optimal type, evolutionary lines, location of optimal switching points[J]. Transportation Research Part B: Methodological, 2016, 94: 482-508.

韩长虎, 刘杰民. 列车优化运行与操纵[M]. 北京: 中国铁道出版社, 2012.

HAN Changhu, LIU Jiemin. Optimal operation and manipulation of trains[M]. Beijing: China Railway Publishing House, 2012.

HOWLETT P G, PUDNEY P J, VU X. Local energy minimization in optimal train control[J]. Automatica, 2009, 45(11): 2692-2698.

程茗. 货运列车控制策略仿真分析研究[D]. 北京: 北京交通大学, 2015.

CHENG Ming. Research on the control strategy of freight train based on simulations[D]. Beijing: Beijing Jiaotong University, 2015.

王青元, 冯晓云. 列车准点节能运行的控制工况最优切换研究[J]. 中国铁道科学, 2016, 37(2): 91-98.

WANG Qingyuan, FENG Xiaoyun. Optimal switching for control conditions of punctual and energy efficient operation of train[J]. China Railway Science, 2016, 37(2): 91-98.

杨杰. 货运列车节能运行优化与智能控制方法[D]. 北京: 北京交通大学, 2017.

YANG Jie. Methodology of energy-efficient freight train optimization and intelligent control[D]. Beijing: Beijing Jiaotong University, 2017.

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