A Research on the pH Neutralization Process Based on the T-S Fuzzy Model

Inherent pH process nonlinearity and time-varying characteristics impose a highly challenging control problem. To meet the requirement of precise identification of parameters in pH neutralization process, this paper concerns the modeling and identification of pH neutralization process. In consideration of the approximate three sections linear characteristic of titration curve in the pH neutralization process, the T-S fuzzy model is adopted as the model of pH neutralization process. Considering the gradient parameters in pH neutralization process, the parameters of the model are identified with the methods of recursive least square algorithm (RLS) and recursive least square with fading factor algorithm (RLS-RFF). The simulation results indicate the effectiveness of the modeling method and the identification methods, and the RLS-RFF algorithm has better identification accuracy and adaptive ability than the RLS algorithm in the reaction process of gradient parameters.