Reference
Z. Su, A. Núñez, A. Jamshidi, S. Baldi, Z. Li, R. Dollevoet, and
B. De Schutter, "Model predictive control for maintenance operations planning
of railway infrastructures," in
Computational Logistics
(Proceedings of the 6th International Conference on Computational
Logistics (ICCL'15), Delft, The Netherlands, Sept. 2015) (F. Corman, S.
Voß, and
R. R. Negenborn, eds.),
Lecture Notes in Computer Science, Cham, Switzerland:
Springer, pp. 673-688, 2015.
Abstract
This paper develops a new decision making method for optimal planning of
railway maintenance operations using hybrid Model Predictive Control (MPC). A
linear dynamic model is used to describe the evolution of the health condition
of a segment of the railway track. The hybrid characteristics arise from the
three possible control actions: performing no maintenance, performing
corrective maintenance, or doing a replacement. A detailed procedure for
transforming the linear system with switched input, and recasting the
transformed problem into a standard mixed integer quadratic programming problem
is presented. The merits of the proposed MPC approach for designing railway
track maintenance plans are demonstrated using a case study with numerical
simulations. The results highlight the potential of MPC to improve
condition-based maintenance procedures for railway infrastructure.
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BibTeX
@incollection{SuNun:15-031,
author = {Su, Zhou and N{\'{u}}{\~{n}}ez, Alfredo and Jamshidi, Ali and
Baldi, Simone and Li, Zili and Dollevoet, Rolf and De Schutter,
Bart},
title = {Model Predictive Control for Maintenance Operations Planning of
Railway Infrastructures},
booktitle = {Computational Logistics \normalfont(Proceedings of the 6th
International Conference on Computational Logistics (ICCL'15),
Delft, The Netherlands, Sept. 2015)},
series = {Lecture Notes in Computer Science},
editor = {Corman, Francesco and Vo{\ss}, Stefan and Negenborn, Rudy R.},
publisher = {Springer},
address = {Cham, Switzerland},
pages = {673--688},
year = {2015}
}