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Reduced Order Models for On-Line Parameter Identification of the Activated Sludge Process

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Author

Summary, in English

A reduced order dynamic model for an activated sludge process performing carbonaceous removal, nitrification, and denitrification is proposed. Based on directly measurable real time data - by methods available today - all model parameters are identified on-line. A simplified extended Kalman filter is used for the actual identification. Verification of the results is based on computer simulations of the IAWQ Activated Sludge Model No. 1. The reduced order model presented herein may serve as a tool for predicting the dynamic behaviour of a biological wastewater treatment plant since the parameters under varying operating conditions can be tracked on-line. The model parameters are effectively estimated even when the measurements are affected by a significant level of noise. The model is aimed for operation and control purposes as an integral part of a hierarchical control structure.

Publishing year

1993

Language

English

Pages

173-183

Publication/Series

Water Science and Technology

Volume

28

Issue

11-12

Document type

Journal article

Publisher

IWA Publishing

Topic

  • Other Electrical Engineering, Electronic Engineering, Information Engineering

Keywords

  • extended Kalman filtering.
  • model calibration
  • model reduction
  • parameter estimation
  • simulation
  • Activated sludge
  • dynamic modelling

Status

Published

ISBN/ISSN/Other

  • ISSN: 0273-1223