REDUCED-ORDER MODELS FOR ONLINE PARAMETER-IDENTIFICATION OF THE ACTIVATED-SLUDGE PROCESS

A reduced order dynamic model for an activated sludge process performi ng carbonaceous removal, nitrification, and denitrification is propose d. Based on directly measurable real time data - by methods available today - all model parameters are identified on-line. A simplified exte nded 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 serv e as a tool for predicting the dynamic behaviour of a biological waste water treatment plant since the parameters under varying operating con ditions can be tracked on-line. The model parameters are effectively e stimated even when the measurements are affected by a significant leve l of noise. The model is aimed for operation and control purposes as a n integral part of a hierarchical control structure.