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Hybrid Intelligent Systems, International Conference on (2006)
Auckland, New Zealand
Dec. 13, 2006 to Dec. 15, 2006
ISBN: 0-7695-2662-4
pp: 39
Michael Bongards , Cologne University of Applied Sciences, National University of Ireland, Maynooth
Alexander Ebel , Cologne University of Applied Sciences, National University of Ireland, Maynooth
Sean McLoone , Cologne University of Applied Sciences, National University of Ireland, Maynooth
ABSTRACT
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.
INDEX TERMS
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CITATION
Michael Bongards, Alexander Ebel, Sean McLoone, "State Based Control of Wastewater Treatment Plants--Evaluation of the Algorithm in a Simulation Study", Hybrid Intelligent Systems, International Conference on, vol. 00, no. , pp. 39, 2006, doi:10.1109/HIS.2006.68
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