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Uma, Srinivasan,Rao, Ambati Seshagiri,Kim, JeongTai,Yoo, ChangKyoo The Society of Chemical Engineers, Japan 2011 Journal of chemical engineering of Japan Vol.44 No.8
<P>Modified Smith predictor based parallel cascade control strategy is proposed for enhanced control of non-self regulating processes involving time delays. Modified Smith predictor is integrated in the primary loop of the parallel cascade control structure to enhance the closed loop performance. The proposed structures consist of two control loops, a secondary inner loop and a primary outer loop. The secondary loop controller is designed using the internal model control (IMC) method. Then, the primary loop controllers are designed after identifying the overall primary process model. The primary loop has two controllers meant for set point tracking and good disturbance rejection and designed using direct synthesis method. The primary set point tracking controller is designed as a PID with lag filter and the primary disturbance rejection controller is designed as a PID with lead-lag filter. For comparison, a simple parallel cascade control is also applied to non-self regulating time delay processes. Simulation studies have been carried out on various unstable and integrating processes. The proposed method provides enhanced closed loop performances compared to that of simple parallel cascade control.</P>
JungJin Lim,유창규,MinHan Kim,김민정,TaeSuk Oh,OnYu Kang,민부기,Ambati Seshagiri Rao 한국화학공학회 2012 Korean Journal of Chemical Engineering Vol.29 No.3
A one-step model calibration methodology of the activated sludge model no. 1 (ASM1) of a full-scale wastewater treatment plant (WWTP) is proposed. First, the key parameters among all parameters of the ASM1 model are selected by sensitivity analysis based on the effluent quality index. Second, multiple response surface methodology (MRSM) is conducted to find the optimal parameter values of the ASM1 model. Lastly, an MRSM analysis is conducted in order to determine the optimal parameter values. This study was conducted in order to develop a new systematic model calibration methodology that can greatly help the modeler to find the optimal solution by selecting the key parameters and optimizing the parameters. In two case studies of simple activated sludge process and a full-scale plant,the experimental results indicated that the calibrated models can improve the prediction quality of the ASM model and the efficiency of the modeling.