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Adaptive Control of Denitrification by the Extended Kalman Filter in a Sequencing Batch Reactor  

Kim, Dong Han (서원대학교 환경건설정보학과)
Publication Information
Journal of Korean Society of Water and Wastewater / v.20, no.6, 2006 , pp. 829-836 More about this Journal
Abstract
The reaction rate of denitrification is primarily affected by the utilization of organics that are usually limited in the anoxic period in a sequencing batch reactor. It is necessary to add an extemal carbon source for sufficient denitrification. An adaptive model of state-space based on the extended Kalman filter is applied to manipulate the dosage rate of extemal carbon automatically. Control strategies for denitrification have been studied to improve control performance through simulations. The normal control strategy of the constant set-point results in the overdosage of external carbon and deterioration of water quality. To prevent the overdosage of external carbon, improved control strategies such as the constrained control action, variable set-point, and variable set-point after dissolved oxygen depletion are required. More stable control is obtained through the application of the variable set-point after dissolved oxygen depletion. The converging value of the estimated denitrification coefficient reflects conditions in the reactor.
Keywords
adaptive control; denitrification; extended Kalman filter; external carbon source; sequencing batch reactor;
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  • Reference
1 Arora, M.L., Barth, E.F., and Umphres, M.B. (1985) Technology Evaluation of Sequencing Batch Reactors, J. WPCF, 57(8), pp. 867-875
2 EPA (1993) Manual Nitrogen Control, U.S. EPA, Washington, DC
3 Jeppsson, U. and Olsson, G. (1993) Reduced Order Models for On-Line Parameter Identification of the Activated Sludge Process, Wat. Sci. Tech., 28(11-12), pp. 173-183
4 Kim, D.H. and Chung, T.H. (2003) State-Space Model for the Estimation of States and Parameters in a Sequencing Batch Reactor, J. KSWW, 17(6), pp. 848-861
5 Kim, D.H. and Chung, T.H. (1999) Dynamic Simulation for Biological Nutrient Removal in a Sequencing Batch Reactor Using a Mathematical Model, Environmental Modeling, Singh, V,P., Seo, I.W, and Sonu, J.H., ed., Water Resources Publications, LLC, Highlands Ranch, pp. 201-214
6 Burden, R.L., Faires, J.D. and Reynolds, A.C. (1986) Numerical Analysis Prindle, Weber & Schmidt, Boston
7 Ekman, M., Samuelsson, P. and Carlsson, B. (2003) Adaptive Control of the Nin-ate Level in an Activated Sludge Process, Wat. Sci. Tech., 47(111), pp. 137-144
8 Henze, M., Gujer, W., Mino, T. and van Loosdrecht, M. (2000) Activated Sludge Models ASM1, ASM2, ASM2d and ASM3. Scientific and Technical Report No.9, IWA Publishing, London
9 Irvine, R.L. and Ketchum, L.H. (1989) Sequencing Batch Reactors for Biological Wastewater Treatment, CRC Crit, Rev. Environ, Control, 18(4), pp. 255-294   DOI
10 Henze, M., Gujer, W., Mino, T., Matsuo, T., Wentzel, M.C. and Marais, G.v,R. (1997) Activated Sludge Model No.2. IAWQ Scientific and Technical Report No.3, IAWQ, London
11 Lindberg, C.-F. and Carlsson, B. (1996a) Adaptive Control of External Carbon Flow Rate in an Activated Sludge Process, Wat. Sci. Tech., 34(3-4), pp. 173-180
12 Gelb, A. (ed.), Kasper, J.F., Nash, R,A., Price, C.F. and Sutherland, A.A. (1979) Applied Optimal Estimation. The M.I.T. Press, Cambridge
13 Ayesa, E., Florez, J., Garcia-Heras, J.L., and Larrea, L. (1991) State and Coefficients Estimation for the Activated Sludge Process Using a Modified Kalman Filter Algorithm, Wat. Sci. Tech., 24(6), pp. 235-247
14 Beck, M.B. (1981) Operational Estimation and Prediction of Nitrification Dynamics in the Activated Sludge Process, Wat. Res., 15, pp. 1313-1330   DOI   ScienceOn
15 Ketchum, Jr., L.H. (1997) Design and Physical Features of Sequencing Batch Reactors, Wat. Sci. Tech., 35(1), pp. 11-18   DOI
16 Isaacs, S., Henze, M. and Kiimmel, M. (1995) An Adaptive Algorithm for External Carbon Addition to an Alternating Activated Sludge Process for Nutrient Removal from Waste Water, Chem. Engng Sci., 50(4), pp. 617-629   DOI   ScienceOn
17 Lindberg, C.-F. and Carlsson, B. (1996b) Estimation of the Respiration Rate and Oxygen Transfer Function Utilizing a Slow DO Sensor, Wat. Sci. Tech., 33(1), pp. 325-333