PH Modeling of Neutralization Process in the Production of Soybean Protein Isolate

摘要

In the whole production process of soybean protein isolate, the neutralization section is a very important link, and the pH value is the most difficult to control in this section. The main reason is that the chemical reaction in the neutralization process has the characteristics of nonlinear, time delay and time-varying. The pH value will seriously affect the quality of the final protein isolate, so controlling the pH value of the neutralization section is particularly important. In this paper, we use laboratory equipment to simulate the neutralization process in the production of soybean protein isolate. In view of the characteristics of the neutralization process, the pH value model of the soy protein isolate is established. The particle swarm optimization algorithm is introduced to identify the parameters, and the identification results are identified with the recursive minimum two multiplication parameter identification and the genetic algorithm parameters. The results of comparison show that the parameter identification results of particle swarm optimization algorithm are obviously better than those of the other two algorithms.