PH Modeling of Neutralization Process in the Production of Soybean Protein Isolate
- DOI
- 10.2991/icitme-18.2018.36How to use a DOI?
- Keywords
- soybean protein isolate; pH model; particle swarm optimization
- Abstract
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.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yuxi Deng AU - Hongmin Zhang AU - Xiuhong Wang AU - Qingqiang Guo PY - 2018/08 DA - 2018/08 TI - PH Modeling of Neutralization Process in the Production of Soybean Protein Isolate BT - Proceedings of the 2018 International Conference on Information Technology and Management Engineering (ICITME 2018) PB - Atlantis Press SP - 181 EP - 184 SN - 1951-6851 UR - https://doi.org/10.2991/icitme-18.2018.36 DO - 10.2991/icitme-18.2018.36 ID - Deng2018/08 ER -