Abstract
An advanced train model, which examines hunting instability and derailment in one integrated model implicitly is presented. In terms of a control subject, proposed model is compatible with nonlinear controllers to stabilise hunting oscillations and perform real-time derailment avoidance. The dynamical model, which consists of a vehicle body, two bogie frames, and two wheelsets in each bogie frame was modelled with 35-DOF. Heuristic nonlinear creep model and flange-rail contact model were used to reveal the effects of the creep forces and moments. The eigenvalues at the hunting speed were calculated by the assistance of the Gershgorin disc theorem. The vehicle speed influence on evaluated derailment quotient was investigated at a sharp radius of the curved track. Safe speeds were also estimated via active derailment criteria. The main superiority of the proposed model is that one can both predict incipient derailment actively and also determine nonlinear critical hunting speeds with higher precision.
Original language | English |
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Pages (from-to) | 824-853 |
Number of pages | 30 |
Journal | International Journal of Heavy Vehicle Systems |
Volume | 26 |
Issue number | 6 |
DOIs | |
Publication status | Published - 2019 |
Bibliographical note
Publisher Copyright:Copyright © 2019 Inderscience Enterprises Ltd.
Funding
Seta Bogosyan received her BSc and MSc from in ITU Electrical Engineering in 1981 and 1983 and conducted her PhD in Control Engineering jointly in UC Santa Barbara and ITU between 1987 and 1991. She has taught in UCSB in 1991, and served as a Professor of Electrical Engineering at ITU between 1992 and 2003, and then as a Professor at the University of Alaska Fairbanks until 2016. She is currently with National Science Foundation (NSF). Her research interests are in cyber-physical systems, control of robots and autonomous platforms, tele robotics and open test beds.
Funders | Funder number |
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National Science Foundation |
Keywords
- Derailment analysis
- Full railway vehicle model
- Hunting analysis
- Lyapunov’s indirect method