摘要：AbstractIn this paper, we consider state estimation of wastewater treatment plants based on model approximation. A wastewater treatment plant described by the Benchmark Simulation Model No. 1 (BSM1) is used. We use the proper orthogonal decomposition approach with re-identification of output equations to obtain a reduced-order model for the original system and then use the reduced-order model in state estimation. An approach on how to determine an appropriate minimum measurement set is also proposed. A continuous-discrete extended Kalman filtering algorithm is used to design an estimator based on the reduced-order model with re-identified output equations. The estimator gives good state estimates for the actual process.
