Multivariable State-Space Identification of Dissolve Oxygen Control

Sharatul Izah Samsudin, Sani Irwan Md Salim, Mohd Fua'ad Rahmat, Norhaliza Abdul Wahab, Mohd Hafiz Sulaiman

Abstract


This work is proposed to identify a linear timeinvariant dynamic model of dissolve oxygen (DO) of a wastewater treatment plants with multilevel pseudo random signals as an excitation input. DO is always known as a main variable in wastewater control. For this purpose, a state-space model that emphasize on numerical subspace state-space system identification (N4SID) is applied. The works include the development of perturbation input signals, Identifying the estimation model continued by validating the model performances by Variance Accounted For and mean relative squared error. It was observed that the estimated model with multilevel input offers good predicted behavior’s compared to two-level pseudo random binary input signal. Benchmark Simulation Model BSM1 was applied as data generator for identification procedures.

Keywords


BSM1; Dissolve Oxygen; Multilevel Input Signal;

Full Text:

PDF

References


L. Ljung, System Identification: Theory for the User, 2nd ed.: Prentice Hall, New Jersey, 1999.

T. Söderström and P. Stoica, System identification: Prentice-Hall, Inc., 1988.

M. Henze, C. L. Grady, W. Gujer, G. Marais, and T. Matsuo, "A General Model for Single-Sludge Wastewater Treatment Systems," Water Research, vol. 21, pp. 505-515, 1987.

T. Yang, W. Qiu, Y. Ma, M. Chadli, and L. Zhang, "Fuzzy model-based predictive control of dissolved oxygen in activated sludge processes," Neurocomputing, vol. 136, pp. 88-95, 2014.

J. Wu and J. Luo, "Aeration control of activated sludge wastewater treatment process using optimal control," in Intelligent Control and Automation (WCICA), 2012 10th World Congress on, 2012, pp. 4969-4973.

P. Samuelsson, B. Halvarsson, and B. Carlsson, "Interaction analysis and control structure selection in a wastewater treatment plant model," IEEE Transactions on Control Systems Technology, vol. 13, pp. 955-964, 2005.

A. Stare, D. Vrečko, N. Hvala, and S. Strmčnik, "Comparison of control strategies for nitrogen removal in an activated sludge process in terms of operating costs: a simulation study," Water research, vol. 41, pp. 2004-2014, 2007.

M. Braun, D. Rivera, A. Stenman, W. Foslien, and C. Hrenya, "Multilevel pseudo-random signal design and" model-on-demand" estimation applied to nonlinear identification of a RTP wafer reactor," in American Control Conference, 1999. Proceedings of the 1999, 1999, pp. 1573-1577.

J. M. Lara and B. Milani, "Identification of neutralization process using multi-level pseudo-random signals," in Proceedings of the American Control Conference, 2003, pp. 3822-3827.

J. M. Lara, B. E. Milani, and O. A. Sotomayor, "Adaptive predictive control of ammonium level based on dissolved oxygen variable setpoint control in an activated sludge process," in Mercosur ongress on Process Systems Engineering, 2005.

A. Vergara, E. Llobet, J. Brezmes, P. Ivanov, X. Vilanova, I. Gracia, et al., "Optimised temperature modulation of metal oxide micro-hotplate gas sensors through multilevel pseudo random sequences," Sensors and Actuators B: Chemical, vol. 111, pp. 271-280, 2005.

A. Vergara, E. Llobet, J. Brezmes, P. Ivanov, C. Cané, I. Gracia, et al., "Quantitative gas mixture analysis using temperature-modulated micro-hotplate gas sensors: Selection and validation of the optimal modulating frequencies," Sensors and Actuators B: Chemical, vol. 123, pp. 1002-1016, 2007.

O. Sotomayor, S. Park, and C. Garcia, "Subspace-based optimal control of N-removal activated sludge plants," in Proceedings of the 2001 IEEE International Conference on Control Applications (CCA'01), 2001, pp. 588-593.

S. I. Samsudin, M. Fuarsquo, N. A. Wahab, M. S. Gaya, and I. W. Jamaludin, "Multilevel input signal for multivariable state-space identification of wastewater treatment plant," International Journal of Physical Sciences, vol. 7, pp. 1847-1856, 2012.

N. A. Wahab, R. Katebi, and J. Balderud, "Multivariable PID control design for activated sludge process with nitrification and

denitrification," Biochemical Engineering Journal, vol. 45, pp. 239-

, 2009.

N. Abdul Wahab, M. Katebi, and J. Balderud, "Multi-variable PID control design for wastewater system," in 15th IEEE Mediterranean Conference on Control and Automation,(MED07), 27-29 June 2007, 2007, pp. 1-6.

K. Gernaey, L. DTU, D. U. Jeppsson, and S. Winkler, "Benchmark simulation model no. 1 (BSM1)," 2008.

J. Copp, "COST Action 624: The COST Simulation Benchmark," Description and Simulation Manual Office for Official Publications of the European Communities, 2002.

K. V. Gernaey, J. B. Copp, P. A. Vanrolleghem, and U. Jeppsson, "Lessons learned from the WWTP benchmarking exercise," in Proceedings 11th IWA Conference on Instrumentation, Control and Automation (ICA2013), 2013, pp. 18-20.


Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.

ISSN: 2180-1843

eISSN: 2289-8131