2DOF-PID Adaptive Gain-Scheduling Control for Nonlinear Process with Dominant Delay

This paper presents an adaptive PID with two degrees-of-freedom (2DOF-PID) controller with gain scheduling for a non-linear mixing process with a dominant delay. The adaptive controller is compared to a classical PID and other improved PID schemes. A tracking task with external disturbances is carried out for a mixing tank with variable parameters and dominant dead time as a benchmark of a single-input and single-output (SISO) system through Simulink. The results indicate that the adaptive controller shows better conditions in the control challenge against other PID schemes. The efficacy of the controllers was studied by analyzing their tracking and regulatory responses.

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Publication Details

Published
2024-09-18
DOI
https://doi.org/10.1109/argencon62399.2024.10735834
Citations
1
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
0.33

Funders

Controls
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article

2DOF-PID Adaptive Gain-Scheduling Control for Nonlinear Process with Dominant Delay

Óscar Camacho, Diego S. Benítez, M. I. García de Soria
1 citations
Advanced Control Systems Optimization
0.33
article

2DOF-PID Adaptive Gain-Scheduling Control for Nonlinear Process with Dominant Delay

Óscar Camacho, Diego S. Benítez, M. I. García de Soria
article en
1 citations

Abstract

This paper presents an adaptive PID with two degrees-of-freedom (2DOF-PID) controller with gain scheduling for a non-linear mixing process with a dominant delay. The adaptive controller is compared to a classical PID and other improved PID schemes. A tracking task with external disturbances is carried out for a mixing tank with variable parameters and dominant dead time as a benchmark of a single-input and single-output (SISO) system through Simulink. The results indicate that the adaptive controller shows better conditions in the control challenge against other PID schemes. The efficacy of the controllers was studied by analyzing their tracking and regulatory responses.

Universidad San Francisco de Quito (EC), National Polytechnic School (EC)
Universidad San Francisco de Quito
Openalex Percentile: Top 40%
Advanced Control Systems Optimization
0.33
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