Comparison of Control Strategies for Dissolved Oxygen Control in Activated Sludge Wastewater Treatment Process
Küçük Resim Yok
Tarih
2009
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Science Bv
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Six control strategies; PID control, Model Predictive Control (MPC) with linear model, MPC with non-linear model, Nonlinear Autoregressive-Moving Average (NARMA-L2) control, Neural Network Model Predictive Control (NN-MPC) and optimal control with sequential quadratic programming (SQP) algorithm were evaluated via simulation of activated sludge wastewater treatment process. Controller performance assessment was based on rise time, overshoot, Integral Absolute Error (IAE) and Integral Square Error (ISE) performance criteria. As dissolved oxygen level in the aeration tank plays an important role in obtaining the effluent water quality, and in operating cost, it was chosen as the controlled variable. It was concluded consequently that NARMA-L2 controller and optimal control with SQP would outperform the others in achieving the specified objective.
Açıklama
19th European Symposium on Computer Aided Process Engineering -- JUN 14-17, 2009 -- Cracow, POLAND
Anahtar Kelimeler
Activated sludge process, MPC, Neural Network MPC, NARMA-L2, Optimal control
Kaynak
19th European Symposium on Computer Aided Process Engineering
WoS Q Değeri
N/A
Scopus Q Değeri
Q4
Cilt
26
