Please use this identifier to cite or link to this item: https://doi.org/10.2166/hydro.2012.173
Title: Coordinating multiple model predictive controllers for the management of large-scale water systems
Authors: Anand, A. 
Galelli, S.
Samavedham, L. 
Sundaramoorthy, S.
Keywords: Aggregation-decomposition methods
Coordination algorithms
Model predictive control
Quadruple tank system
Water resources management
Issue Date: 2013
Source: Anand, A., Galelli, S., Samavedham, L., Sundaramoorthy, S. (2013). Coordinating multiple model predictive controllers for the management of large-scale water systems. Journal of Hydroinformatics 15 (2) : 293-305. ScholarBank@NUS Repository. https://doi.org/10.2166/hydro.2012.173
Abstract: The optimal management of multi-purpose water reservoir networks is a challenging control problem, because of the simultaneous presence of multiple objectives, the uncertainties associated with the inflow processes and the several interactions between the subsystems. For such systems, model predictive control (MPC) is an attractive control strategy that can be implemented in both centralized and decentralized configurations. The latter is easy to implement and is characterized by reduced computational requirements, but its performance is sub-optimum. However, individual decentralized controllers can be coordinated and driven towards the performance of a centralized configuration. Coordination can be achieved through the communication of information between the subsystems, and the modification of the local control problems to ensure cooperation between the controllers. In this work the applicability of coordination algorithms for the operation of water reservoir networks is evaluated. The performance of the algorithms is evaluated through numerical simulation experiments on a quadruple tank system and a two reservoir water network. The analysis also includes a numerical study of the trade-off between the algorithms' computational burden and the different levels of cooperation. The results show the potential of the proposed approach, which could provide a viable alternative to traditional control methods in real-world applications. © IWA Publishing 2013.
Source Title: Journal of Hydroinformatics
URI: http://scholarbank.nus.edu.sg/handle/10635/50446
ISSN: 14647141
DOI: 10.2166/hydro.2012.173
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

6
checked on Dec 13, 2017

WEB OF SCIENCETM
Citations

4
checked on Nov 14, 2017

Page view(s)

59
checked on Dec 9, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.