Modeling and adaptive control of pH in raceway reactors for microalgae production

被引：3

作者：

Caparroz, Malena ^{[1
]}

Otalora, Pablo ^{[1
]}

Guzman, Jose Luis ^{[1
]}

Berenguel, Manuel ^{[1
]}

Acien, Francisco Gabriel ^{[2
]}

机构：

[1] Univ Almeria, Dept Informat, CIESOL, ceiA3, Ctra Sacramento S-N, La Canada De San Urbano, Almeria, Spain

[2] Univ Almeria, CIESOL, Dept Ingn Quim, ceiA3, Almeria 04120, Spain

来源：

REVISTA IBEROAMERICANA DE AUTOMATICA E INFORMATICA INDUSTRIAL | 2023年 / 20卷 / 04期

关键词：

Microalgae; modeling; open reactor; adaptive control; DYNAMIC-MODEL;

D O I：

10.4995/riai.2023.19103

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This work proposes the obtaining and use of regression tree models for the prediction of pH and its control in clean water raceway photobioreactors, taking into account the different operating conditions to which the culture is subjected. These operating conditions are dictated, among other measurable variables, by solar radiation, the temperature and level of the medium in which the culture grows. The aim is to evaluate the validity of this approach, which produces simple and fast-running models, in the modelling of complex biological processes such as the one discussed in this paper. Its performance has been validated in simulation, using a non-linear model based on artificial neural networks as a virtual plant and a pH PI control algorithm whose parameters are adapted according to the model chosen in the regression tree.

引用

页码：379 / 388

页数：10

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