Kalman filter for the state estimation of a 2-AXLE railway vehicle

T. X. Mei, R. M. Goodall, H. Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper presents the development of a state observer for a 2-axle railway vehicle with solid axle wheelsets. A plan view model of the vehicle is presented and a Kalman filter is developed to estimate 18 states from 8 inertial measurements. The required measurements are the lateral acceleration and yaw velocity of the vehicle body and the same measurements plus the roll velocity for the two wheelsets, requiring three accelerometers and five gyros. The Kalman filter is formulated in such a way that it not only estimates all the vehicle states, but also calculates parameters such as curve radius and cant of the railway track on which the vehicle is travelling. Computer simulations are used to verify the design and to assess its performance together with an optimal controller developed for active steering of the wheelsets.

Original languageEnglish
Title of host publication1999 European Control Conference (ECC)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2431-2435
Number of pages5
ISBN (Print)9783952417355
DOIs
Publication statusPublished - 1999
Externally publishedYes
Event1999 European Control Conference - Karlsruhe, Germany
Duration: 31 Aug 19993 Sep 1999

Conference

Conference1999 European Control Conference
Abbreviated titleECC 1999
CountryGermany
CityKarlsruhe
Period31/08/993/09/99

Fingerprint

State estimation
Kalman filters
Axles
Accelerometers
Controllers
Computer simulation

Cite this

Mei, T. X., Goodall, R. M., & Li, H. (1999). Kalman filter for the state estimation of a 2-AXLE railway vehicle. In 1999 European Control Conference (ECC) (pp. 2431-2435). [7099687] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ECC.1999.7099687
Mei, T. X. ; Goodall, R. M. ; Li, H. / Kalman filter for the state estimation of a 2-AXLE railway vehicle. 1999 European Control Conference (ECC). Institute of Electrical and Electronics Engineers Inc., 1999. pp. 2431-2435
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abstract = "This paper presents the development of a state observer for a 2-axle railway vehicle with solid axle wheelsets. A plan view model of the vehicle is presented and a Kalman filter is developed to estimate 18 states from 8 inertial measurements. The required measurements are the lateral acceleration and yaw velocity of the vehicle body and the same measurements plus the roll velocity for the two wheelsets, requiring three accelerometers and five gyros. The Kalman filter is formulated in such a way that it not only estimates all the vehicle states, but also calculates parameters such as curve radius and cant of the railway track on which the vehicle is travelling. Computer simulations are used to verify the design and to assess its performance together with an optimal controller developed for active steering of the wheelsets.",
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Mei, TX, Goodall, RM & Li, H 1999, Kalman filter for the state estimation of a 2-AXLE railway vehicle. in 1999 European Control Conference (ECC)., 7099687, Institute of Electrical and Electronics Engineers Inc., pp. 2431-2435, 1999 European Control Conference, Karlsruhe, Germany, 31/08/99. https://doi.org/10.23919/ECC.1999.7099687

Kalman filter for the state estimation of a 2-AXLE railway vehicle. / Mei, T. X.; Goodall, R. M.; Li, H.

1999 European Control Conference (ECC). Institute of Electrical and Electronics Engineers Inc., 1999. p. 2431-2435 7099687.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - This paper presents the development of a state observer for a 2-axle railway vehicle with solid axle wheelsets. A plan view model of the vehicle is presented and a Kalman filter is developed to estimate 18 states from 8 inertial measurements. The required measurements are the lateral acceleration and yaw velocity of the vehicle body and the same measurements plus the roll velocity for the two wheelsets, requiring three accelerometers and five gyros. The Kalman filter is formulated in such a way that it not only estimates all the vehicle states, but also calculates parameters such as curve radius and cant of the railway track on which the vehicle is travelling. Computer simulations are used to verify the design and to assess its performance together with an optimal controller developed for active steering of the wheelsets.

AB - This paper presents the development of a state observer for a 2-axle railway vehicle with solid axle wheelsets. A plan view model of the vehicle is presented and a Kalman filter is developed to estimate 18 states from 8 inertial measurements. The required measurements are the lateral acceleration and yaw velocity of the vehicle body and the same measurements plus the roll velocity for the two wheelsets, requiring three accelerometers and five gyros. The Kalman filter is formulated in such a way that it not only estimates all the vehicle states, but also calculates parameters such as curve radius and cant of the railway track on which the vehicle is travelling. Computer simulations are used to verify the design and to assess its performance together with an optimal controller developed for active steering of the wheelsets.

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Mei TX, Goodall RM, Li H. Kalman filter for the state estimation of a 2-AXLE railway vehicle. In 1999 European Control Conference (ECC). Institute of Electrical and Electronics Engineers Inc. 1999. p. 2431-2435. 7099687 https://doi.org/10.23919/ECC.1999.7099687