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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...
Computing the optimal values of proportional integral derivative (PID) control gains is an important task in the design of PID controller. This paper presents the application of Sugeno fuzzy model for on-line tuning of PID controllers in pH process. The optimal PID controller parameters required to develop the Sugeno fuzzy model are estimated by genetic algorithm. The developed fuzzy controller can...
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