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...
Main Author: | |
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Other Authors: | , , , |
Format: | article |
Language: | eng |
Published: |
2013
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Subjects: | |
Online Access: | http://hdl.handle.net/10174/7084 |
Country: | Portugal |
Oai: | oai:dspace.uevora.pt:10174/7084 |
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. |
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