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The goal of this paper is to apply the Generalized Predictive Controller (GPC) to control the mold level in a continuous casting process, considering the effects of the clogging disturb and the argon gas noise. Using a linear mathematical model of a real plant, it is shown by simulation the necessity of including the recursive identification and the Kalman filter in the control loop, in order to satisfy...
Controlling a temperature for a large system is not an easy task, the lag is big and the overshoot is high. The conventional method of controlling this kind of process is not capable of giving satisfactory result. In this paper the implementation of Fuzzy Logic controller with Smith Predictor is an alternative to control this system. First order plus dead time model (FOPDT) is used for simulation...
Nonlinear model predictive control algorithm based on hierarchical optimization is used in this paper to solve the thorny problems of controlling the pH, such as highly nonlinear and large time-delay which have been hard to be settled by the conventional PID controller, in the neutralization process of rolling mills wastewater treatment. Furthermore, the hardware parameters and configurations are...
This work illustrates a new control strategy of model predictive control for pH control of the Cephradine purification process in Continuous stirrer tank reactor (CSTR). The simulation results show that the response of MPC is accurate and nearer to the ideal response when compared to PID.
The difficulty of controlling pH neutralization processes resides in the non-linearity of such processes. This behavior is due to the logarithmic relationship between the hydrogen ions concentrations [H+] and the level of pH. The control strategy to be developed very much depends on the feasibility of the mathematical model that represents the process. This paper illustrates feasible modeling of the...
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