Predictive Adaptive Control of an Activated Sludge Wastewater Treatment Process
This paper presents an application regarding a model based predictive adaptive controller used to improve the effluent quality of a conventionalactivated sludge wastewater treatment process. The adaptive control scheme consists of two modules: a robust parameter estimator and a predictive controller. The controller design is based on the process model obtained by recursive estimation. The performances of the adaptive control algorithm are investigated and compared tothenon-adaptive one. Both the set point tracking and the regulatory performances have been tested. The results show that this control strategy will help overcome the challenge for maintaining the discharged water quality to meet the regulations.
R. Katebi, M. A. Johnson, and J. Wilkie, “Control and instrumentation for wastewater treatment plants,” Springer, London, 2012.
U. Jeppsson, “Modelling aspects of wastewater treatment processes,” Ph.D. thesis, Dept. of Industrial Electrical Eng. And Automation, Lund University, Sweden, 1996.
M. A. Brdys, M. Grochowski, T. Gminski, K. Konarczak, and M. Drewa, “Hierarchical predictive control of integrated wastewater treatment systems,” Control Eng. Pract., vol. 16, no. 6, pp. 751-767, June 2008.
B. Holenda, E. Domokos, A. Rédey, and J. Fazakas, “Dissolved oxygen control of the activated sludge wastewater treatment process using model predictive control,” Computers and Chemical Engineering, vol. 32, pp. 1278-1286, 2008.
D. W. Clarke, C. Mohtadi, and P. Tuffs, “Generalized predictive control part 1. The basic algorithm,” Automatica, vol. 23, no. 2, pp. 137-148, 1987.
M. Henze, W. Gujer, T. Mino, and M. Van Loosdrecht, “Activated sludge models ASM1, ASM2, ASM2d and ASM3,” IWA Publishing, London, 2000.
S. Cristescu, I. Naşcu, and I. Naşcu, “Sensitivity analysis of an activated sludge model for a qastewater treatment plant,” Proc. International Conference on System Theory, Control and Computing, pp. 595-600, Oct. 2015.
I. Nascu, Adaptive control, Mediamira, Cluj-Napoca, 2002.
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