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

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

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

2 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Páginas (desde-hasta)45301-45313
Número de páginas13
PublicaciónACS Omega
Volumen7
N.º49
DOI
EstadoPublicada - 13 dic. 2022

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