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Distributed Fixed-time Cooperative Cruise Control for Train Formation

  • Chen Wu
  • , Shigen Gao*
  • , Ning Zhao
  • , Haifeng Song
  • , Hairong Dong
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper investigates the fixed-time cooperative cruise control problem for train formation by using preceding neighboring information under uncertain basic and air resistances. Partially inspired by the prescribed performance control methodology, a new distributed fixed-time cooperative cruise control scheme is designed for multiple trains to obtain higher convergence precision and faster convergence rate. The proposed method hold three features: i), based on fixed-time theory, the high-speed trains in formation can reach the desired cruise speed in a determined time; ii), the intervals between adjacent trains can be adjusted from different initial values to the same; iii), the uncertain air resistance problem is solved by utilizing the virtual parameter adaptation technique. Based on Lyapunov stability analysis and fixed-time theory, all close-loop signals are bounded after a fixed time. Numerical simulation results demonstrate the effectiveness of proposed control approach.

Original languageEnglish
Title of host publication2020 Chinese Automation Congress (CAC)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages6350-6354
Number of pages5
ISBN (Electronic)9781728176871, 9781728176864 (USB)
ISBN (Print)9781728176888 (PoD)
DOIs
Publication statusPublished - 29 Jan 2021
Event2020 Chinese Automation Congress, CAC 2020 - Shanghai, China
Duration: 6 Nov 2020 → 8 Nov 2020

Publication series

NameChinese Automation Congress
PublisherIEEE
ISSN (Print)2688-092X
ISSN (Electronic)2688-0938

Conference

Conference2020 Chinese Automation Congress, CAC 2020
Country/TerritoryChina
CityShanghai
Period6/11/20 → 8/11/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

  • cruise control
  • Distributed fixed-time cooperative control
  • prescribed performance control
  • train formation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Optimization

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