Universiti Teknologi Malaysia Institutional Repository

Railway wheelset parameter estimation using signals from lateral velocity sensor

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


Official URL: http://www.s2is.org/Issues/v1/n3/


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.

Item Type:Article
Uncontrolled Keywords:linear integral filter, least-absolute error, variable forgetting factor, continuous-time estimation, solid-axle wheelset
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:8632
Deposited By: Norshiela Buyamin
Deposited On:06 May 2009 04:13
Last Modified:23 Oct 2017 07:56

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