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Sixth International Conference on Hybrid Intelligent Systems (HIS'06)
State Based Control of Wastewater Treatment Plants--Evaluation of the Algorithm in a Simulation Study
Auckland, New Zealand
December 13-December 15
ISBN: 0-7695-2662-4
ASCII Text
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Alexander Ebel, Michael Bongards, Sean McLoone, "State Based Control of Wastewater Treatment Plants--Evaluation of the Algorithm in a Simulation Study," Hybrid Intelligent Systems, International Conference on, pp. 39, Sixth International Conference on Hybrid Intelligent Systems (HIS'06), 2006.
 
 
BibTex
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@article{ 10.1109/HIS.2006.68,
author = {Alexander Ebel and Michael Bongards and Sean McLoone},
title = {State Based Control of Wastewater Treatment Plants--Evaluation of the Algorithm in a Simulation Study},
journal ={Hybrid Intelligent Systems, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2662-4},
pages = {39},
doi = {http://doi.ieeecomputersociety.org/10.1109/HIS.2006.68},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Hybrid Intelligent Systems, International Conference on
TI - State Based Control of Wastewater Treatment Plants--Evaluation of the Algorithm in a Simulation Study
SN - 0-7695-2662-4
SP
EP
A1 - Alexander Ebel,
A1 - Michael Bongards,
A1 - Sean McLoone,
PY - 2006
KW - null
VL - 0
JA - Hybrid Intelligent Systems, International Conference on
ER -
 
Alexander Ebel, Cologne University of Applied Sciences, National University of Ireland, Maynooth
Michael Bongards, Cologne University of Applied Sciences, National University of Ireland, Maynooth
Sean McLoone, Cologne University of Applied Sciences, National University of Ireland, Maynooth
This paper presents the design of a supervised controller with the primary objectives of improvement of process stability and reduction of operating costs. The controller uses a rule set for determination of the process state extracted from the results of a fuzzy c-means clustering algorithm. Additionally a finite state machine is used for the evaluation of identified states in order to check logical consistency and process behavior. The result of the state machine is a symbolic value which describes the condition of the process. Based on the condition-identification an appropriate control strategy is used. The supervised controller methodology is evaluated in a simulation study. A significant improvement of process stability and energy saving has been achieved.
Citation:
Alexander Ebel, Michael Bongards, Sean McLoone, "State Based Control of Wastewater Treatment Plants--Evaluation of the Algorithm in a Simulation Study," his, pp.39, Sixth International Conference on Hybrid Intelligent Systems (HIS'06), 2006
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