Comparisons of nonlinear estimators for wastewater treatment plants

Hamimi Fadziati Binti Abdul Wahab, Reza Katebi, Ramon Villanova

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

2 Citations (Scopus)
217 Downloads (Pure)

Abstract

This paper deals with five existing nonlinear estimators (filters), which include Extended Kalman Filter (EKF), Extended H-infinity Filter (EHF), State Dependent Filter (SDF), State Dependent H-Infinity Filter (SDHF) and Unscented Kalman Filter (UKF) that are formulated and implemented to estimate unmeasured states of a typical biological wastewater
system. The performance of these five estimators of different complexities, behaviour and advantages are demonstrated and compared via nonlinear simulations. This study shows promising application of UKF for monitoring and control of the process variables, which
are not directly measurable.
Original languageEnglish
Title of host publicationProceedings of the 20th Mediterranean Conference on Control & Automation (MED), 2012
PublisherIEEE
Pages764-769
Number of pages6
ISBN (Print)978-1-4673-2530-1
DOIs
Publication statusPublished - 6 Jul 2012
Event2012 20th Mediterranean Conference on Control & Automation (MED) - Bercelona, United Kingdom
Duration: 3 Jul 20126 Jul 2012

Conference

Conference2012 20th Mediterranean Conference on Control & Automation (MED)
CountryUnited Kingdom
CityBercelona
Period3/07/126/07/12

Keywords

  • nonlinear state estimation
  • wastewater systems
  • Kalman filter
  • H-infinity filter
  • state-dependent filter
  • unscented Kalman filter

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  • Cite this

    Abdul Wahab, H. F. B., Katebi, R., & Villanova, R. (2012). Comparisons of nonlinear estimators for wastewater treatment plants. In Proceedings of the 20th Mediterranean Conference on Control & Automation (MED), 2012 (pp. 764-769). IEEE. https://doi.org/10.1109/MED.2012.6265730