A Comparison of Adaptive PID, Adaptive Dual-PID and Adaptive Fractional PID Controllers for a Nonlinear System with Variable Parameters

Sebastian Vega; Mateo Vasquez-Guevara; Oscar Camacho

doi:10.5220/0013068100003822

A Comparison of Adaptive PID, Adaptive Dual-PID and Adaptive Fractional PID Controllers for a Nonlinear System with Variable Parameters

Sebastian Vega
, Mateo Vasquez-Guevara
, Oscar Camacho

Ingeniería Electrónica y Automatización

Universidad San Francisco de Quito

Research output: Contribution to journal › Conference article › peer-review

3 Scopus citations

Abstract

This paper presents a comparative analysis of three control strategies: Adaptive PID, Dual-Adaptive PID, and Adaptive Gain FO-PID controllers. These controllers were evaluated on nonlinear dynamic systems with varying parameters, considering set point variations, disturbances, and measurement noise. Performance was quantified using key metrics such as settling time, overshoot, Integral of Squared Error (ISE), and Integral of Squared Control Output (ISCO). The results demonstrate that the Adaptive Gain FO-PID consistently outper forms the other methods, highlighting its superior ability to manage the complexities of nonlinear systems.

Original language	English
Pages (from-to)	166-177
Number of pages	12
Journal	Proceedings of the International Conference on Informatics in Control, Automation and Robotics
Volume	1
DOIs	https://doi.org/10.5220/0013068100003822
State	Published - 2024
Event	21st International Conference on Informatics in Control, Automation and Robotics, ICINCO 2024 - Porto, Portugal Duration: 18 Nov 2024 → 20 Nov 2024

Keywords

Adaptive Gain FO-PID
Adaptive PID
Dual-Adaptive PID
Nonlinear Processes
Variable Parameters

Access to Document

10.5220/0013068100003822

Cite this

@article{3da87174690f499cbd7825c976c4552b,

title = "A Comparison of Adaptive PID, Adaptive Dual-PID and Adaptive Fractional PID Controllers for a Nonlinear System with Variable Parameters",

abstract = "This paper presents a comparative analysis of three control strategies: Adaptive PID, Dual-Adaptive PID, and Adaptive Gain FO-PID controllers. These controllers were evaluated on nonlinear dynamic systems with varying parameters, considering set point variations, disturbances, and measurement noise. Performance was quantified using key metrics such as settling time, overshoot, Integral of Squared Error (ISE), and Integral of Squared Control Output (ISCO). The results demonstrate that the Adaptive Gain FO-PID consistently outper forms the other methods, highlighting its superior ability to manage the complexities of nonlinear systems.",

keywords = "Adaptive Gain FO-PID, Adaptive PID, Dual-Adaptive PID, Nonlinear Processes, Variable Parameters",

author = "Sebastian Vega and Mateo Vasquez-Guevara and Oscar Camacho",

note = "Publisher Copyright: {\textcopyright} 2024 by SCITEPRESS{\textendash} Science and Technology Publications, Lda.; 21st International Conference on Informatics in Control, Automation and Robotics, ICINCO 2024 ; Conference date: 18-11-2024 Through 20-11-2024",

year = "2024",

doi = "10.5220/0013068100003822",

language = "Ingl{\'e}s",

volume = "1",

pages = "166--177",

journal = "Proceedings of the International Conference on Informatics in Control, Automation and Robotics",

issn = "2184-2809",

publisher = "Science and Technology Publications, Lda",

}

A Comparison of Adaptive PID, Adaptive Dual-PID and Adaptive Fractional PID Controllers for a Nonlinear System with Variable Parameters. / Vega, Sebastian; Vasquez-Guevara, Mateo; Camacho, Oscar.
In: Proceedings of the International Conference on Informatics in Control, Automation and Robotics, Vol. 1, 2024, p. 166-177.

Research output: Contribution to journal › Conference article › peer-review

TY - JOUR

T1 - A Comparison of Adaptive PID, Adaptive Dual-PID and Adaptive Fractional PID Controllers for a Nonlinear System with Variable Parameters

AU - Vega, Sebastian

AU - Vasquez-Guevara, Mateo

AU - Camacho, Oscar

PY - 2024

Y1 - 2024

N2 - This paper presents a comparative analysis of three control strategies: Adaptive PID, Dual-Adaptive PID, and Adaptive Gain FO-PID controllers. These controllers were evaluated on nonlinear dynamic systems with varying parameters, considering set point variations, disturbances, and measurement noise. Performance was quantified using key metrics such as settling time, overshoot, Integral of Squared Error (ISE), and Integral of Squared Control Output (ISCO). The results demonstrate that the Adaptive Gain FO-PID consistently outper forms the other methods, highlighting its superior ability to manage the complexities of nonlinear systems.

AB - This paper presents a comparative analysis of three control strategies: Adaptive PID, Dual-Adaptive PID, and Adaptive Gain FO-PID controllers. These controllers were evaluated on nonlinear dynamic systems with varying parameters, considering set point variations, disturbances, and measurement noise. Performance was quantified using key metrics such as settling time, overshoot, Integral of Squared Error (ISE), and Integral of Squared Control Output (ISCO). The results demonstrate that the Adaptive Gain FO-PID consistently outper forms the other methods, highlighting its superior ability to manage the complexities of nonlinear systems.

KW - Adaptive Gain FO-PID

KW - Adaptive PID

KW - Dual-Adaptive PID

KW - Nonlinear Processes

KW - Variable Parameters

UR - https://www.scopus.com/pages/publications/105001346836

U2 - 10.5220/0013068100003822

DO - 10.5220/0013068100003822

M3 - Artículo de la conferencia

AN - SCOPUS:105001346836

SN - 2184-2809

VL - 1

SP - 166

EP - 177

JO - Proceedings of the International Conference on Informatics in Control, Automation and Robotics

JF - Proceedings of the International Conference on Informatics in Control, Automation and Robotics

T2 - 21st International Conference on Informatics in Control, Automation and Robotics, ICINCO 2024

Y2 - 18 November 2024 through 20 November 2024

ER -

A Comparison of Adaptive PID, Adaptive Dual-PID and Adaptive Fractional PID Controllers for a Nonlinear System with Variable Parameters

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this