Skip to main navigation Skip to search Skip to main content

Optimization for train speed trajectory based on Pontryagin's Maximum Principle

  • Kai Bao*
  • , Shaofeng Lu
  • , Fei Xue
  • , Zhaoxiang Tan
  • *Corresponding author for this work
    • Xi'an Jiaotong-Liverpool University

    Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

    8 Citations (Scopus)

    Abstract

    Among different energy efficiency improvement technologies for railway transportation, the optimization of speed trajectory is a feasible method with low cost, since there is no need to upgrade the railway infrastructures. This paper proposes a simplified method to find speed trajectory and co-state variables. The method is based on Pontryagin's Maximum Principle (PMP) to minimize tractive energy. Hamiltonian and co-state equation are derived. The design of this paper is based on an ideal model which has no speed limit, gradient, and regenerative braking. Under the necessary condition of PMP, it can obtain acceleration, cruising, coasting, deceleration sections independently using a linear iteration, and then connect them to form full trajectory using the Linking Principle proposed in this paper. The train parameters are determined based on locomotive SS4. The results show that PMP can be applied on optimal train trajectory with minimum energy consumption.

    Original languageEnglish
    Title of host publication2017 IEEE 20th International Conference on Intelligent Transportation Systems, ITSC 2017
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1-6
    Number of pages6
    ISBN (Electronic)9781538615256
    DOIs
    Publication statusPublished - 2 Jul 2017
    Event20th IEEE International Conference on Intelligent Transportation Systems, ITSC 2017 - Yokohama, Kanagawa, Japan
    Duration: 16 Oct 2017 → 19 Oct 2017

    Publication series

    NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
    Volume2018-March

    Conference

    Conference20th IEEE International Conference on Intelligent Transportation Systems, ITSC 2017
    Country/TerritoryJapan
    CityYokohama, Kanagawa
    Period16/10/17 → 19/10/17

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

    Cite this