Health-Aware Economic MPC for Operational Management of Flow-Based Networks Using Bayesian Networks

Author:

Pedrosa Javier,Puig VicençORCID,Nejjari Fatiha

Abstract

This paper presents a health-aware economic Model Predictive Control (EMPC) approach for the Prognostics and Health Management (PHM) of generalized flow-based networks. The proposed approach consists of the integration of the network reliability model obtained from a Bayesian network in the control model. The controller is then able to optimally manage the supply taking into consideration the distribution of the control effort, to extend the life of the actuators by delaying the network reliability decay as much as possible. It also considers an optimal inventory replenishment policy based on a desired risk acceptability level, leading to the availability of safety stocks for unexpected excess demand in networks. The proposed implementation is illustrated with a real case study corresponding to an aggregate model of the Drinking Water transport Network (DWN) of Barcelona.

Publisher

MDPI AG

Subject

Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry

Reference15 articles.

1. Model Predictive Control: Theory and Design;Rawlings,2009

2. Economic Predictive Control of a Pasteurization Plant using a Linear Parameter Varying Model;Karimi Pour,2017

3. Economic Reliability-Aware MPC-LPV for Operational Management of Flow-Based Water Networks Including Chance-Constraints Programming;Karimi,2020

4. Reliability-Based Economic Model Predictive Control for Generalised Flow-Based Networks Including Actuators Health-Aware Capabilities;Grosso,2016

5. Economic Health-Aware MPC-LPV Based on DBN Reliability Model for Water Transport Network;Karimi,2019

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