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2016 | 26 | 3 | 641-654
Tytuł artykułu

Reliability-based economic model predictive control for generalised flow-based networks including actuators' health-aware capabilities

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper proposes a reliability-based economic model predictive control (MPC) strategy for the management of generalised flow-based networks, integrating some ideas on network service reliability, dynamic safety stock planning, and degradation of equipment health. The proposed strategy is based on a single-layer economic optimisation problem with dynamic constraints, which includes two enhancements with respect to existing approaches. The first enhancement considers chance-constraint programming to compute an optimal inventory replenishment policy based on a desired risk acceptability level, leading to dynamical allocation of safety stocks in flow-based networks to satisfy non-stationary flow demands. The second enhancement computes a smart distribution of the control effort and maximises actuators' availability by estimating their degradation and reliability. The proposed approach is illustrated with an application of water transport networks using the Barcelona network as the case study considered.
Rocznik
Tom
26
Numer
3
Strony
641-654
Opis fizyczny
Daty
wydano
2016
otrzymano
2015-04-13
poprawiono
2015-12-29
zaakceptowano
2016-02-16
Twórcy
  • Automatic Control Department, Institute of Robotics and Industrial Informatics (CSIC-UPC), Polytechnic University of Catalonia (UPC), Llorens and Artigas 4-6, 08028 Barcelona, Spain
  • Automatic Control Department, Institute of Robotics and Industrial Informatics (CSIC-UPC), Polytechnic University of Catalonia (UPC), Llorens and Artigas 4-6, 08028 Barcelona, Spain
autor
  • Automatic Control Department, Institute of Robotics and Industrial Informatics (CSIC-UPC), Polytechnic University of Catalonia (UPC), Llorens and Artigas 4-6, 08028 Barcelona, Spain
Bibliografia
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Typ dokumentu
Bibliografia
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Identyfikator YADDA
bwmeta1.element.bwnjournal-article-amcv26i3p641bwm
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