Railway wheelset parameter estimation using signals from lateral velocity sensor

A type of parameter estimation technique based on the linear integral filter (LIF) method, the least-absolute error with variable forgetting factor (LAE+VFF) estimation method, is proposed in this paper to estimate the railway wheelset parameters modelled as a time-varying continuous-time (C-T) syst...

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Päätekijät: Selamat, H., Alimin, A. J., Sam, Y.M.
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: 2008
Aiheet:
Linkit:http://eprints.utm.my/8632/3/HSelamat2008_RailwayWheelsetParameterEstimationUsing.pdf
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author Selamat, H.
Alimin, A. J.
Sam, Y.M.
author_facet Selamat, H.
Alimin, A. J.
Sam, Y.M.
author_sort Selamat, H.
collection ePrints
description A type of parameter estimation technique based on the linear integral filter (LIF) method, the least-absolute error with variable forgetting factor (LAE+VFF) estimation method, is proposed in this paper to estimate the railway wheelset parameters modelled as a time-varying continuous-time (C-T) system. The inputs to the parameter estimator are the control signal and the railway wheelset system output, which is the wheelset’s lateral velocity. The algorithm includes an instrumental variable (IV) element to reduce estimation bias and a variable forgetting factor for good parameter tracking and smooth steady state. Simulation results have shown that the LAE with fixed forgetting factor gives better parameter estimates compared to the recursive least-squares error (RLSE) method, whereas the LAE+VFF offers even better estimation and tracking of system parameters that are subject to abrupt changes, provided that the fs and lf values are chosen accordingly. It has also been proven that the estimation error of the proposed LAE+VFF estimation algorithm is bounded.
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spelling utm.eprints-86322017-10-23T07:56:52Z http://eprints.utm.my/8632/ Railway wheelset parameter estimation using signals from lateral velocity sensor Selamat, H. Alimin, A. J. Sam, Y.M. TK Electrical engineering. Electronics Nuclear engineering A type of parameter estimation technique based on the linear integral filter (LIF) method, the least-absolute error with variable forgetting factor (LAE+VFF) estimation method, is proposed in this paper to estimate the railway wheelset parameters modelled as a time-varying continuous-time (C-T) system. The inputs to the parameter estimator are the control signal and the railway wheelset system output, which is the wheelset’s lateral velocity. The algorithm includes an instrumental variable (IV) element to reduce estimation bias and a variable forgetting factor for good parameter tracking and smooth steady state. Simulation results have shown that the LAE with fixed forgetting factor gives better parameter estimates compared to the recursive least-squares error (RLSE) method, whereas the LAE+VFF offers even better estimation and tracking of system parameters that are subject to abrupt changes, provided that the fs and lf values are chosen accordingly. It has also been proven that the estimation error of the proposed LAE+VFF estimation algorithm is bounded. 2008-09 Article PeerReviewed application/pdf en http://eprints.utm.my/8632/3/HSelamat2008_RailwayWheelsetParameterEstimationUsing.pdf Selamat, H. and Alimin, A. J. and Sam, Y.M. (2008) Railway wheelset parameter estimation using signals from lateral velocity sensor. International Journal on Smart Sensing and Intelligent Systems, 1 (3). pp. 754-770. ISSN 1178-5608 http://www.s2is.org/Issues/v1/n3/
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Selamat, H.
Alimin, A. J.
Sam, Y.M.
Railway wheelset parameter estimation using signals from lateral velocity sensor
title Railway wheelset parameter estimation using signals from lateral velocity sensor
title_full Railway wheelset parameter estimation using signals from lateral velocity sensor
title_fullStr Railway wheelset parameter estimation using signals from lateral velocity sensor
title_full_unstemmed Railway wheelset parameter estimation using signals from lateral velocity sensor
title_short Railway wheelset parameter estimation using signals from lateral velocity sensor
title_sort railway wheelset parameter estimation using signals from lateral velocity sensor
topic TK Electrical engineering. Electronics Nuclear engineering
url http://eprints.utm.my/8632/3/HSelamat2008_RailwayWheelsetParameterEstimationUsing.pdf
work_keys_str_mv AT selamath railwaywheelsetparameterestimationusingsignalsfromlateralvelocitysensor
AT aliminaj railwaywheelsetparameterestimationusingsignalsfromlateralvelocitysensor
AT samym railwaywheelsetparameterestimationusingsignalsfromlateralvelocitysensor