Neuro-adaptive electric traction and braking control of high-speed train

X. H. LI; Y. D. SONG; L. L. FAN

doi:10.1109/SOLI.2011.5986590

Neuro-adaptive electric traction and braking control of high-speed train

X. H. LI^*
, Y. D. SONG
, L. L. FAN

^*Corresponding author for this work

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

4 Citations (Scopus)

Abstract

Electric motors are the core driving units for high speed train consisting of locomotives and carriages. This paper investigates high precision speed control of the driving motor systems. More specifically, the problem of speed and back e.m.f control of motors via automatically regulating armature and field voltage is studied. The underlying system is inherently nonlinear with unknown and time-varying parameters due to uncertain disturbances. In this paper, an approach based on robust adaptive radial basis function (RBF) neural network (NN) is proposed to achieve motor speed tracking. This method is shown to be able to achieve speed and back e.m.f tracking with high precision, as confirmed both theoretical analysis and computer simulation. © 2011 IEEE.

Original language	English
Title of host publication	Proceedings of 2011 IEEE International Conference on Service Operations, Logistics and Informatics, SOLI 2011
Publisher	IEEE
Pages	385-390
Number of pages	6
ISBN (Electronic)	9781457705748
ISBN (Print)	9781457705731
DOIs	https://doi.org/10.1109/SOLI.2011.5986590
Publication status	Published - 1 Dec 2011
Externally published	Yes
Event	2011 IEEE International Conference on Service Operations, Logistics and Informatics - Beijing, China Duration: 10 Jul 2011 → 12 Jul 2011

Conference

Conference	2011 IEEE International Conference on Service Operations, Logistics and Informatics
Country/Territory	China
City	Beijing
Period	10/07/11 → 12/07/11

Keywords

drive
motor
neural network
nonlinear control
stability
time-varying
train
unknown

Access to Document

10.1109/SOLI.2011.5986590

Cite this

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title = "Neuro-adaptive electric traction and braking control of high-speed train",

abstract = "Electric motors are the core driving units for high speed train consisting of locomotives and carriages. This paper investigates high precision speed control of the driving motor systems. More specifically, the problem of speed and back e.m.f control of motors via automatically regulating armature and field voltage is studied. The underlying system is inherently nonlinear with unknown and time-varying parameters due to uncertain disturbances. In this paper, an approach based on robust adaptive radial basis function (RBF) neural network (NN) is proposed to achieve motor speed tracking. This method is shown to be able to achieve speed and back e.m.f tracking with high precision, as confirmed both theoretical analysis and computer simulation. {\textcopyright} 2011 IEEE.",

keywords = "drive, motor, neural network, nonlinear control, stability, time-varying, train, unknown",

author = "LI, \{X. H.\} and SONG, \{Y. D.\} and FAN, \{L. L.\}",

year = "2011",

month = dec,

day = "1",

doi = "10.1109/SOLI.2011.5986590",

language = "English",

isbn = "9781457705731",

pages = "385--390",

booktitle = "Proceedings of 2011 IEEE International Conference on Service Operations, Logistics and Informatics, SOLI 2011",

publisher = "IEEE",

note = "2011 IEEE International Conference on Service Operations, Logistics and Informatics ; Conference date: 10-07-2011 Through 12-07-2011",

}

LI, XH, SONG, YD & FAN, LL 2011, Neuro-adaptive electric traction and braking control of high-speed train. in Proceedings of 2011 IEEE International Conference on Service Operations, Logistics and Informatics, SOLI 2011., 5986590, IEEE, pp. 385-390, 2011 IEEE International Conference on Service Operations, Logistics and Informatics, Beijing, China, 10/07/11. https://doi.org/10.1109/SOLI.2011.5986590

Neuro-adaptive electric traction and braking control of high-speed train. / LI, X. H.; SONG, Y. D.; FAN, L. L.
Proceedings of 2011 IEEE International Conference on Service Operations, Logistics and Informatics, SOLI 2011. IEEE, 2011. p. 385-390 5986590.

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

TY - GEN

T1 - Neuro-adaptive electric traction and braking control of high-speed train

AU - LI, X. H.

AU - SONG, Y. D.

AU - FAN, L. L.

PY - 2011/12/1

Y1 - 2011/12/1

N2 - Electric motors are the core driving units for high speed train consisting of locomotives and carriages. This paper investigates high precision speed control of the driving motor systems. More specifically, the problem of speed and back e.m.f control of motors via automatically regulating armature and field voltage is studied. The underlying system is inherently nonlinear with unknown and time-varying parameters due to uncertain disturbances. In this paper, an approach based on robust adaptive radial basis function (RBF) neural network (NN) is proposed to achieve motor speed tracking. This method is shown to be able to achieve speed and back e.m.f tracking with high precision, as confirmed both theoretical analysis and computer simulation. © 2011 IEEE.

AB - Electric motors are the core driving units for high speed train consisting of locomotives and carriages. This paper investigates high precision speed control of the driving motor systems. More specifically, the problem of speed and back e.m.f control of motors via automatically regulating armature and field voltage is studied. The underlying system is inherently nonlinear with unknown and time-varying parameters due to uncertain disturbances. In this paper, an approach based on robust adaptive radial basis function (RBF) neural network (NN) is proposed to achieve motor speed tracking. This method is shown to be able to achieve speed and back e.m.f tracking with high precision, as confirmed both theoretical analysis and computer simulation. © 2011 IEEE.

KW - drive

KW - motor

KW - neural network

KW - nonlinear control

KW - stability

KW - time-varying

KW - train

KW - unknown

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DO - 10.1109/SOLI.2011.5986590

M3 - Conference paper (refereed)

AN - SCOPUS:84859941955

SN - 9781457705731

SP - 385

EP - 390

BT - Proceedings of 2011 IEEE International Conference on Service Operations, Logistics and Informatics, SOLI 2011

PB - IEEE

T2 - 2011 IEEE International Conference on Service Operations, Logistics and Informatics

Y2 - 10 July 2011 through 12 July 2011

ER -

Neuro-adaptive electric traction and braking control of high-speed train

Abstract

Conference

Keywords

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