TY - CHAP
T1 - Model Predictive Control of the waste water treatment plant based on the Benchmark Simulation Model No.1-BSM1
AU - Cristea, Vasile Mircea
AU - Pop, Cristian
AU - Agachi, Paul Serban
PY - 2008
Y1 - 2008
N2 - Control of the WWTP is not a trivial task sinos the unit is nonlinear, features large time constants and delays, and interaction between variables is important. Model Predictive Control algorithm is a good candidate for such demanding task. The paper presents the results for controlling the WWTP using MPC. The Benchmark Simulation Model No. 1-BSM1 has been used as a standard for performance assessment and evaluation of the control strategy. Control of the Dissolved Oxygen in the aerated reactors and nitrate level in the anoxic compartments has been performed using the MPC control strategy. Air flow rate in the aerated reactors and internal recycle flow have been chosen as manipulated variables. The obtained results show the incentives of MPC over classical PI control with respect to overshoot and time response. A combined feedback-feedforward MPC scheme is also proposed for disturbance rejection and its incentives are shown.
AB - Control of the WWTP is not a trivial task sinos the unit is nonlinear, features large time constants and delays, and interaction between variables is important. Model Predictive Control algorithm is a good candidate for such demanding task. The paper presents the results for controlling the WWTP using MPC. The Benchmark Simulation Model No. 1-BSM1 has been used as a standard for performance assessment and evaluation of the control strategy. Control of the Dissolved Oxygen in the aerated reactors and nitrate level in the anoxic compartments has been performed using the MPC control strategy. Air flow rate in the aerated reactors and internal recycle flow have been chosen as manipulated variables. The obtained results show the incentives of MPC over classical PI control with respect to overshoot and time response. A combined feedback-feedforward MPC scheme is also proposed for disturbance rejection and its incentives are shown.
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U2 - 10.1016/S1570-7946(08)80078-8
DO - 10.1016/S1570-7946(08)80078-8
M3 - Chapter
AN - SCOPUS:52949131382
SN - 9780444532275
T3 - Computer Aided Chemical Engineering
SP - 441
EP - 446
BT - 18th European Symposium on Computer Aided Process Engineering
PB - Elsevier
ER -