Wednesday , October 4 2023

Algorithms for the Computation of Passive Robustness Margins in Railway Transport Systems

Anis MHALLA1*, Simon Collart DUTILLEUL2
1 Laboratory of Automation, Electrical Systems Environment (LAESE),
National Engineering School of Monastir (ENIM), Monastir, Tunisia (*Corresponding author)
2 COSYS Department, ESTAS Laboratory, University of Gustave Eiffel, France

Abstract: This paper contributes to the analysis of the robustness of railway transport networks. With a focus on the maximum time constraints related to the interval when a metro is stopped at a station, robustness is analysed without control modifications against temporal disturbances. A rigorous axiomatics was elaborated for the analytical characterization of this kind of robustness in the context of manufacturing sites. This paper introduces a new semantic interpretation of the classical model of a manufacturing site with maximum time constraints in order to compute a passive robustness lower bound for a railway network. The aim is to avoid time constraint violations. Finally, in order to illustrate the effectiveness and accuracy of the proposed computational algorithms, their implementation in the context of the Sahel Railway Network is presented.

Keywords: Passive robustness, Temporal disturbances, Railway network, Computation algorithm.


Anis MHALLA, Simon Collart DUTILLEUL, Algorithms for the Computation of Passive Robustness Margins in Railway Transport Systems, Studies in Informatics and Control, ISSN 1220-1766, vol. 32(2), pp. 85-92, 2023.