Neuroadaptive fault-tolerant control of high speed trains with input nonlinearities and actuator failures

Q. SONG; Y. D. SONG

doi:10.1109/acc.2011.5991570

Neuroadaptive fault-tolerant control of high speed trains with input nonlinearities and actuator failures

Q. SONG^*
, Y. D. SONG^*

^*Corresponding author for this work

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

16 Citations (Scopus)

Abstract

This work investigates the position and velocity tracking control problem of high speed trains with multiple vehicles connected through couplers. A dynamic model coupled with nonlinear and elastic impacts between adjacent vehicles as well as traction/braking nonlinearities and actuation faults is derived. Neuroadaptive fault-tolerant control algorithms are developed to deal with various factors such as input nonlinearities, actuator failures, and uncertain impacts of in-train forces in the system. The effectiveness of the proposed approach is also confirmed through numerical simulation. © 2011 AACC American Automatic Control Council.

Original language	English
Title of host publication	Proceedings of the 2011 American Control Conference, ACC 2011
Publisher	IEEE
Pages	576-581
Number of pages	6
ISBN (Electronic)	9781457700811
ISBN (Print)	9781457700804
DOIs	https://doi.org/10.1109/acc.2011.5991570
Publication status	Published - 2011
Externally published	Yes
Event	2011 American Control Conference, ACC 2011 - San Francisco, United States Duration: 29 Jun 2011 → 1 Jul 2011

Conference

Conference	2011 American Control Conference, ACC 2011
Country/Territory	United States
City	San Francisco
Period	29/06/11 → 1/07/11

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10.1109/acc.2011.5991570

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title = "Neuroadaptive fault-tolerant control of high speed trains with input nonlinearities and actuator failures",

abstract = "This work investigates the position and velocity tracking control problem of high speed trains with multiple vehicles connected through couplers. A dynamic model coupled with nonlinear and elastic impacts between adjacent vehicles as well as traction/braking nonlinearities and actuation faults is derived. Neuroadaptive fault-tolerant control algorithms are developed to deal with various factors such as input nonlinearities, actuator failures, and uncertain impacts of in-train forces in the system. The effectiveness of the proposed approach is also confirmed through numerical simulation. {\textcopyright} 2011 AACC American Automatic Control Council.",

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AB - This work investigates the position and velocity tracking control problem of high speed trains with multiple vehicles connected through couplers. A dynamic model coupled with nonlinear and elastic impacts between adjacent vehicles as well as traction/braking nonlinearities and actuation faults is derived. Neuroadaptive fault-tolerant control algorithms are developed to deal with various factors such as input nonlinearities, actuator failures, and uncertain impacts of in-train forces in the system. The effectiveness of the proposed approach is also confirmed through numerical simulation. © 2011 AACC American Automatic Control Council.

UR - https://www.scopus.com/pages/publications/80053142679

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DO - 10.1109/acc.2011.5991570

M3 - Conference paper (refereed)

AN - SCOPUS:80053142679

SN - 9781457700804

SP - 576

EP - 581

BT - Proceedings of the 2011 American Control Conference, ACC 2011

PB - IEEE

T2 - 2011 American Control Conference, ACC 2011

Y2 - 29 June 2011 through 1 July 2011

ER -

Neuroadaptive fault-tolerant control of high speed trains with input nonlinearities and actuator failures

Abstract

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