A co-simulation approach for heavy haul long distance locomotive-track simulation studies
The operation of heavy haul high adhesion locomotives on the long distance track from mines to ports is a subject of recent track damage studies. Such studies require the introduction of a traction power system for each locomotive running in the heavy haul train followed by consideration of the whol...
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Published in | Vehicle system dynamics Vol. 57; no. 9; pp. 1363 - 1380 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Abingdon
Taylor & Francis
02.09.2019
Taylor & Francis Ltd |
Subjects | |
Online Access | Get full text |
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Summary: | The operation of heavy haul high adhesion locomotives on the long distance track from mines to ports is a subject of recent track damage studies. Such studies require the introduction of a traction power system for each locomotive running in the heavy haul train followed by consideration of the whole system developed as a complex mechatronic model. It is nowadays common to use co-simulation for the creation of mechatronic models. This paper introduces an approach which can be applicable for a whole train simulation and is based on the combination of two types of software - a multibody simulation package for the mechanical model of a heavy haul locomotive and tools for simulation of traction power systems. This paper describes the integration of a shared library, generated by means of Simulink Code Generation, in Gensys multibody software for the co-simulation process. The validation of the newly developed approach has been performed by means of the simulation of both simplified and full traction control systems for a heavy haul locomotive running on straight track with the same scenarios previously used for the existing co-simulation approach based on a TCP/IP data exchange interface. Validation of the newly developed approach has also been performed with longitudinal train dynamics considered. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 0042-3114 1744-5159 |
DOI: | 10.1080/00423114.2018.1504088 |