Fuzzy model predictive control of nonlinear pH process

A new fuzzy model-based predictive control scheme was developed to control a nonlinear pH process. The control scheme is based on the Takagi-Sugeno ty pe fuzzy model of the process being controlled. In the present fuzzy model predictive control method, the process model maintains a linear representat ion of the conclusion parts of fuzzy rules. Therefore, it has a significant advantage over other types of models in the sense that nonlinear processes can be handled effectively by embedding the linear characteristic. The fuz zy model of the pH process to be controlled was constructed and used in the predictive control algorithm. Results of computer simulations and experime nts demonstrated the effectiveness of the present control method.