Application of the Morris method for screening the influential parameters of fuzzy controllers applied to WWTPs

M.V. Ruano, J. Ribes, J, Ferrer, Gürkan Sin

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

In this paper,we evaluate the application of a sensitivity analysis to help fine-tuning a fuzzy controller for a biological nitrogen and phosphorus removal (BNPR) plant. The Morris Screeningmethod is proposed and evaluated as a prior step to obtain the parameter significance ranking. First, an iterative procedure has been performed in order to find out the proper repetition number of the elementary effects (r) of the method. The optimal repetition number found in this study (r¼ 60) is in direct contrast to previous applications of the Morris method, which usually use low repetition number, e.g. r¼ 10 ∼ 20. Working with a non-proper repetition number (r) could lead to Type I error (identifying a not-important factor as significant (false positive)) aswell as Type II error (identifying an important factor as not significant (false negative)), hence emphasizing the importance of finding the optimal repetition number for each study in question. With the proper r found, the Morris Screening helped identify the parameter significance ranking, thereby facilitating the calibration of fuzzy controllers,which containmany parameters that need to be adjusted for different wastewater treatment plant (WWTP) applications.
Original languageEnglish
JournalWater Science and Technology
Volume63
Issue number10
Pages (from-to)2199-2206
ISSN0273-1223
DOIs
Publication statusPublished - 2011

Keywords

  • Parameter significance ranking
  • Screening method
  • Fuzzy controllers
  • Screening analysis
  • Fine-tuning

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