Abstract—In this paper, a model based control strategy has been developed for the wastewater treatment process. Interesting results have been reported by introducing the cyclic input i.e. dilution rate D in terms of productivity of the process. The effect of variable feed conditions which are associated with the wastewater treatment process has been studied. The effect of some tuning parameters (prediction horizon, control, horizon, sampling time etc.) is also studied. The controller performance for the three regions of sampling time is tested and the best case is reported. In first part, steady state analysis of the process has been studied and the optimum plant operating conditions reported. In the next phase periodic forced operation, has been implemented using non-linear model predictive control. The controller successfully, achieved the objective i.e. 10 % increase in productivity than the maximum with 29 % decrease in power consumption for pumping cost.
Index Terms—Model base control, productivity, sampling time, power consumption, cyclic input.
The authors are with Chemical Engineering Department, College of Engineering King Saud University, Saudi Arabia (e-mail: mazhar@ ksu.edu.sa, rizwanazharr@yahoo.com, amkamal@ksu.edu.sa).
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Cite: Muhammad Rizwan Azhar and Emadadeen Ali, "Advanced Control Strategy for Wastewater Treatment Process: A Parametric Study," International Journal of Chemical Engineering and Applications vol. 5, no. 4 pp. 335-341, 2014.
