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Heterogeneous Models Based Distributed Predictive Control for Heavy-haul Trains
编号：21 访问权限：仅限参会人 更新：2023-11-20 13:45:33 浏览：477次 口头报告

报告开始：2023年12月09日 14:15（Asia/Shanghai）

报告时间：15min

所在会场：[S5] Traction power supply technology and application [S5] Traction power supply technology and application

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摘要
In order to further improve the line capacity and locomotive fleet safety operation for busy heavy-haul railways, a heterogeneous group modeling approach is adopted in this paper to identify locomotive fleets with different dynamic characteristics. By analyzing adjacent coupling characteristics between different locomotive fleets, a topology graph with stable interconnection parameters for heterogeneous groups is derived. To ensure the smooth operation of heavy-haul train groups and prevent significant speed control errors during operation, a distributed dynamic matrix predictive control algorithm has been developed. Joint simulations based on heterogeneous groups such as AC electric locomotive HXD3, DC electric locomotive SS4B, and diesel locomotive HXN3 demonstrate that this approach provides reference for stable coupling of different types of overloaded locomotives, reduces driver workload, and achieves safe and smooth operation.
 
关键词
Distributed predictive control; Dynamic matrix control; Heavy-haul trains; Heterogeneous groups; Stable topology graph.
报告人
Zhang Kunpeng
Lecturer East China Jiaotong University

稿件作者
Zhang Kunpeng East China Jiaotong University
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重要日期

  • 会议日期

    12月08日

    2023

    至

    12月10日

    2023

  • 11月01日 2023

    初稿截稿日期

  • 12月10日 2023

    注册截止日期

主办单位
IEEE IAS
承办单位
Southwest Jiaotong University (SWJTU)
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