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基于混合方法的pH值过程控制滑模控制

Hybrid Approaches-Based Sliding-Mode Control for pH Process Control.

作者信息

Morales Luis, Estrada Juan Sebastian, Herrera Marco, Rosales Andres, Leica Paulo, Gamboa Silvana, Camacho Oscar

机构信息

Departamento de Automatización y Control Industrial, Escuela Politénica Nacional, Quito170517, Ecuador.

Department of Electronics Engineering, Universidad Técnica Federico Santa María, Valparaıso2340000, Chile.

出版信息

ACS Omega. 2022 Dec 1;7(49):45301-45313. doi: 10.1021/acsomega.2c05756. eCollection 2022 Dec 13.

DOI:10.1021/acsomega.2c05756
PMID:36530232
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9753201/
Abstract

This paper presents two hybrid control topologies; the topologies are designed by combining artificial intelligence approaches and sliding-mode control methodology. The first topology mixes the learning algorithm for multivariable data analysis (LAMDA) approach with sliding-mode control. The second offers a Takagi-Sugeno multimodel approach, internal model, and sliding-mode control. The process under study is a nonlinear pH neutralization process with high nonlinearities and time-varying parameters. The pH process is simulated for multiple reference changes, disturbance rejection, and noise in the transmitter. Performance indices are used to compare the proposed approaches quantitatively. The hybrid control topologies enhance the performance and robustness of the pH process under study.

摘要

本文提出了两种混合控制拓扑结构；这些拓扑结构是通过将人工智能方法与滑模控制方法相结合而设计的。第一种拓扑结构将多变量数据分析学习算法（LAMDA）方法与滑模控制相结合。第二种提供了一种Takagi-Sugeno多模型方法、内部模型和滑模控制。所研究的过程是一个具有高度非线性和时变参数的非线性pH中和过程。针对多个参考变化、干扰抑制和变送器中的噪声对pH过程进行了仿真。使用性能指标对所提出的方法进行定量比较。混合控制拓扑结构提高了所研究的pH过程的性能和鲁棒性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2225/9753201/9fe31ea5611d/ao2c05756_0011.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2225/9753201/9623451fab1f/ao2c05756_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2225/9753201/446c0ab0f0d4/ao2c05756_0003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2225/9753201/29d8b19a61bf/ao2c05756_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2225/9753201/337e5cdab27a/ao2c05756_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2225/9753201/42540df99791/ao2c05756_0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2225/9753201/0b25b4abc914/ao2c05756_0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2225/9753201/e20daf10e6fd/ao2c05756_0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2225/9753201/5d97f88dc067/ao2c05756_0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2225/9753201/9fe31ea5611d/ao2c05756_0011.jpg

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本文引用的文献

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