Reference
A. N. Tarău, B. De Schutter, and J.
Hellendoorn, "Predictive control for baggage handling systems using mixed
integer linear programming,"
Proceedings of the 5th IFAC
International Conference on Management and Control of Production Logistics
(MCPL 2010), Coimbra, Portugal, pp. 16-21, Sept. 2010.
Abstract
State-of-the-art baggage handling systems transport luggage in an automated way
using destination coded vehicles (DCVs). These vehicles transport the bags at
high speeds on a network of tracks. In this paper we consider the problem of
controlling the route of each DCV in the system. In general this results in a
nonlinear, nonconvex, mixed integer optimization problem which is usually very
expensive in terms of computational effort. Therefore, we present an
alternative approach for reducing the complexity of the computations by
simplifying and approximating the nonlinear optimization problem by a mixed
integer linear programming (MILP) problem. The advantage is that for MILP
problems solvers are available that allow us to efficiently compute the global
optimal solution. The solution of the MILP problem can then be used as a good
initial starting point for the original nonlinear optimization problem. We use
model predictive control (MPC) for solving the route choice problem. We also
assess the performance of the proposed (nonlinear and MILP) formulations of the
MPC optimization problem using a benchmark case study.
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BibTeX
@inproceedings{TarDeS:10-041,
author = {Tar{\u{a}}u, Alina N. and De Schutter, Bart and Hellendoorn,
Johannes},
title = {Predictive Control for Baggage Handling Systems Using Mixed
Integer Linear Programming},
booktitle = {Proceedings of the 5th IFAC International Conference on
Management and Control of Production Logistics (MCPL 2010)},
address = {Coimbra, Portugal},
pages = {16--21},
month = sep,
year = {2010}
}