Design of a generalized predictive controller for a biological wastewater treatment plant.
This paper presents a generalized predictive control (GPC) technique to regulate the activated sludge process found in a bioreactor used in wastewater treatment. The control strategy can track dissolved oxygen setpoint changes quickly, adapting to the system uncertainties and disturbances. Tests occur on an Activated Sludge Model No. 1 benchmark of an activated sludge process. A T filter added to the GPC framework results in an effective control strategy in the presence of coloured measurement noise. This work also suggests how a constraint on the measured variable can be added as a penalty term to the GPC framework which leads to improved control of the dissolved oxygen concentration in the presence of dynamic input disturbance.
University of Calgary, 2500 University Dr NW Calgary, AB T2N 1N4, Canada E-mail: msadegha@ucalgary.ca.
M
M
Sadeghassadi
University of Calgary, 2500 University Dr NW Calgary, AB T2N 1N4, Canada E-mail: msadegha@ucalgary.ca.
C J B
CJ
Macnab
University of Calgary, 2500 University Dr NW Calgary, AB T2N 1N4, Canada E-mail: msadegha@ucalgary.ca.
D
D
Westwick
D019149:Bioreactors; D008962:Models, Theoretical; D010100:Oxygen / Q000032:analysis; D012722:Sewage; D064091:Waste Disposal Facilities; D014865:Waste Disposal, Fluid / Q000379:methods; D062065:Wastewater / Q000737:chemistry*; D014874:Water Pollutants, Chemical
D010100:Oxygen; D012722:Sewage; D062065:Wastewater; D014874:Water Pollutants, Chemical