Robust Parameter Identification for Railway Suspension Systems

Author(s):  
Selma Zoljic-Beglerovic ◽  
Mohammad Ali Golkani ◽  
Martin Steinberger ◽  
Martin Horn
Author(s):  
Jongchul Jung ◽  
Taehyun Shim ◽  
Jamie Gertsch

Predicting impending vehicle rollover is essential for rollover prevention systems but it is not a simple task. In describing roll motion, the roll center movement becomes important as the vehicle roll angle increases, and thus affects the performance of rollover warning devices. This paper proposes a dynamic roll stability indicator incorporating roll center movement. A robust parameter identification algorithm is designed to estimate the horizontal and vertical movement of the roll center. This estimate is used in the roll stability indicator to update its rollover threshold value. The effectiveness of the proposed roll stability indicator is demonstrated through simulations.


2007 ◽  
Vol 21 (2) ◽  
pp. 1008-1025 ◽  
Author(s):  
R. Pascual ◽  
R. Schälchli ◽  
M. Razeto

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