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

• Autorzy: Grosso J. M. , Ocampo-Martinez C. , Puig V.

Identyfikatory

DOI

10.1515/amcs-2016-0044

• Języki publikacji: EN

Abstrakty

EN

This paper proposes a reliability-based economic model predictive control (MPC) strategy for the management of generalized 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.

Słowa kluczowe

EN

model predictive control; flow based network; dynamic safety stocks; actuator health; service reliability; chance constraints; economic optimisation

PL

sterowanie predykcyjne; niezawodność serwisu; optymalizacja ekonomiczna

• Wydawca: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2016
• Tom: Vol. 26, no. 3
• Strony: 641--654
• Opis fizyczny: Bibliogr. 42 poz., rys., tab., wykr.

Twórcy

autor

Grosso J. M.

• 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

Ocampo-Martinez C.

• 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

Puig V.

• Automatic Control Department, Institute of Robotics and Industrial Informatics (CSIC-UPC), Polytechnic University of Catalonia (UPC), Llorens and Artigas 4–6, 08028 Barcelona, Spain

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Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.