Parameter Tuning of a Distributed Model Predictive Controller for Water Delivery Canal Application

This work addresses the problem of tuning the parameters of a distributed model predictive control algorithm (DMPC) applied to the control of water level in a water delivery canal. The D-SIORHC algorithm considered is based on distributed MPC control agents that incorporate stability constraints. Co...

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Bibliographic Details
Main Author: Igreja, José (author)
Other Authors: Lemos, João (author), Cadete, Filipe (author), Rato, Luís (author), Rijo, Manuel (author)
Format: article
Language:eng
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/10174/7084
Country:Portugal
Oai:oai:dspace.uevora.pt:10174/7084
Description
Summary:This work addresses the problem of tuning the parameters of a distributed model predictive control algorithm (DMPC) applied to the control of water level in a water delivery canal. The D-SIORHC algorithm considered is based on distributed MPC control agents that incorporate stability constraints. Coordination of the different controllers is achieved by a negotiation among neighbor agents. The value of the controller parameters that yield the best performance is obtained by comparing the experimental results obtained from different field tests.