Identification and H-Infinity Control for a pH Neutralization Process

This paper presents the experimental results of the S/KS mixed sensitivity H-Infinity controller implemented in a real pH neutralization plant. For this control system, three variables were considered for control: level, temperature, and pH. To design the H-Infinity controller, linear models for each variable were identified as a first-order plus dead time (FOPDT) transfer function, and a step signal was used to excite each process variable. The system identification process and the design of the H-Infinity controller were implemented using the Matlab toolbox. To begin testing the H-Infinity controller in the real plant, the weight functions were initially defined and then adjusted to ensure robust stability and robust performance for each process variable. The responses of the H-Infinity controller for each variable were compared with those of the PI controller for the same desired reference signals, and the results were satisfactory according to the requirements. In conclusion, we can indicate that the H-Infinity controller is a viable option for use in the industrial processes when the linear model can be obtained.

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Publication Details

Published
2024-12-04
DOI
https://doi.org/10.1109/icecer62944.2024.10920445
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00

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Controls
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article

Identification and H-Infinity Control for a pH Neutralization Process

Edwin Red Estofanero Larico, Andrei Araujo Felix, José Roberto Castilho Piqueira
Advanced Control Systems Optimization
article

Identification and H-Infinity Control for a pH Neutralization Process

Edwin Red Estofanero Larico, Andrei Araujo Felix, José Roberto Castilho Piqueira
article en

Abstract

This paper presents the experimental results of the S/KS mixed sensitivity H-Infinity controller implemented in a real pH neutralization plant. For this control system, three variables were considered for control: level, temperature, and pH. To design the H-Infinity controller, linear models for each variable were identified as a first-order plus dead time (FOPDT) transfer function, and a step signal was used to excite each process variable. The system identification process and the design of the H-Infinity controller were implemented using the Matlab toolbox. To begin testing the H-Infinity controller in the real plant, the weight functions were initially defined and then adjusted to ensure robust stability and robust performance for each process variable. The responses of the H-Infinity controller for each variable were compared with those of the PI controller for the same desired reference signals, and the results were satisfactory according to the requirements. In conclusion, we can indicate that the H-Infinity controller is a viable option for use in the industrial processes when the linear model can be obtained.

Universidade de São Paulo (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Openalex Percentile: Top 65%
Advanced Control Systems Optimization
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