Non-Linear Kalman Filter Estimation for Active Steering of Profiled Rail-Wheels

H. Li; T. X. Mei; John T. Pearson; R. M. Goodall

doi:10.3182/20020721-6-ES-1901.00426

Non-Linear Kalman Filter Estimation for Active Steering of Profiled Rail-Wheels

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

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

5 Citations (Scopus)

Abstract

This paper presents a study of state estimation for active steering of profiled wheels. Fundamental characteristics of a solid-axle wheelset are explained and the potential benefits of active steering are discussed. The paper studies the non-linearity of the wheelset caused by profiled wheel-rail contact surfaces and develops a recursive non-linear Kalman filter to provide reliable and accurate estimations of the wheelset state. Real wheel and rail profiles are used in the study and a non-linear model is developed to represent the wheelset. Computer simulations are used to verify the design and assess its performance.

Original language	English
Title of host publication	Proceedings of the 15th IFAC World Congress, International Federation of Automatic Control
Publisher	Elsevier
Pages	91-96
Number of pages	6
Volume	35
Edition	1
ISBN (Print)	9783902661746
DOIs	https://doi.org/10.3182/20020721-6-ES-1901.00426
Publication status	Published - 2002
Externally published	Yes
Event	15th World Congress of the International Federation of Automatic Control - Barcelona, Spain Duration: 21 Jul 2002 → 26 Jul 2002 Conference number: 15 https://www.sciencedirect.com/journal/ifac-proceedings-volumes/vol/35/issue/1

Publication series

Name	IFAC Proceedings Volumes (IFAC-PapersOnline)
Publisher	Elsevier
Number	1
Volume	35
ISSN (Print)	1474-6670

Conference

Conference	15th World Congress of the International Federation of Automatic Control
Country/Territory	Spain
City	Barcelona
Period	21/07/02 → 26/07/02
Internet address	https://www.sciencedirect.com/journal/ifac-proceedings-volumes/vol/35/issue/1

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10.3182/20020721-6-ES-1901.00426Licence: Other

Cite this

Li, H., Mei, T. X., Pearson, J. T., & Goodall, R. M. (2002). Non-Linear Kalman Filter Estimation for Active Steering of Profiled Rail-Wheels. In Proceedings of the 15th IFAC World Congress, International Federation of Automatic Control (1 ed., Vol. 35, pp. 91-96). (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 35, No. 1). Elsevier. https://doi.org/10.3182/20020721-6-ES-1901.00426

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title = "Non-Linear Kalman Filter Estimation for Active Steering of Profiled Rail-Wheels",

abstract = "This paper presents a study of state estimation for active steering of profiled wheels. Fundamental characteristics of a solid-axle wheelset are explained and the potential benefits of active steering are discussed. The paper studies the non-linearity of the wheelset caused by profiled wheel-rail contact surfaces and develops a recursive non-linear Kalman filter to provide reliable and accurate estimations of the wheelset state. Real wheel and rail profiles are used in the study and a non-linear model is developed to represent the wheelset. Computer simulations are used to verify the design and assess its performance.",

keywords = "Active control, Kalman filter, Non-linear system, Railway wheelset, State estimation, Wheel-rail profiles",

author = "H. Li and Mei, {T. X.} and Pearson, {John T.} and Goodall, {R. M.}",

year = "2002",

doi = "10.3182/20020721-6-ES-1901.00426",

language = "English",

isbn = "9783902661746",

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series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",

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pages = "91--96",

booktitle = "Proceedings of the 15th IFAC World Congress, International Federation of Automatic Control",

address = "Netherlands",

edition = "1",

note = "15th World Congress of the International Federation of Automatic Control ; Conference date: 21-07-2002 Through 26-07-2002",

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Li, H, Mei, TX, Pearson, JT & Goodall, RM 2002, Non-Linear Kalman Filter Estimation for Active Steering of Profiled Rail-Wheels. in Proceedings of the 15th IFAC World Congress, International Federation of Automatic Control. 1 edn, vol. 35, IFAC Proceedings Volumes (IFAC-PapersOnline), no. 1, vol. 35, Elsevier, pp. 91-96, 15th World Congress of the International Federation of Automatic Control, Barcelona, Spain, 21/07/02. https://doi.org/10.3182/20020721-6-ES-1901.00426

Non-Linear Kalman Filter Estimation for Active Steering of Profiled Rail-Wheels. / Li, H.; Mei, T. X.; Pearson, John T. et al.
Proceedings of the 15th IFAC World Congress, International Federation of Automatic Control. Vol. 35 1. ed. Elsevier, 2002. p. 91-96 (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 35, No. 1).

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

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T1 - Non-Linear Kalman Filter Estimation for Active Steering of Profiled Rail-Wheels

AU - Li, H.

AU - Mei, T. X.

AU - Pearson, John T.

AU - Goodall, R. M.

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N2 - This paper presents a study of state estimation for active steering of profiled wheels. Fundamental characteristics of a solid-axle wheelset are explained and the potential benefits of active steering are discussed. The paper studies the non-linearity of the wheelset caused by profiled wheel-rail contact surfaces and develops a recursive non-linear Kalman filter to provide reliable and accurate estimations of the wheelset state. Real wheel and rail profiles are used in the study and a non-linear model is developed to represent the wheelset. Computer simulations are used to verify the design and assess its performance.

AB - This paper presents a study of state estimation for active steering of profiled wheels. Fundamental characteristics of a solid-axle wheelset are explained and the potential benefits of active steering are discussed. The paper studies the non-linearity of the wheelset caused by profiled wheel-rail contact surfaces and develops a recursive non-linear Kalman filter to provide reliable and accurate estimations of the wheelset state. Real wheel and rail profiles are used in the study and a non-linear model is developed to represent the wheelset. Computer simulations are used to verify the design and assess its performance.

KW - Active control

KW - Kalman filter

KW - Non-linear system

KW - Railway wheelset

KW - State estimation

KW - Wheel-rail profiles

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Non-Linear Kalman Filter Estimation for Active Steering of Profiled Rail-Wheels

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