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

2024

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 outperforms the other methods, highlighting its superior ability to manage the complexities of nonlinear systems.

Paper Citation

in Bibtex Style

@conference{icinco24,
author={Sebastian Vega and Mateo Vasquez-Guevara and Oscar Camacho},
title={A Comparison of Adaptive PID, Adaptive Dual-PID and Adaptive Fractional PID Controllers for a Nonlinear System with Variable Parameters},
booktitle={Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2024},
pages={166-177},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013068100003822},
isbn={978-989-758-717-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - A Comparison of Adaptive PID, Adaptive Dual-PID and Adaptive Fractional PID Controllers for a Nonlinear System with Variable Parameters
SN - 978-989-758-717-7
AU - Vega S.
AU - Vasquez-Guevara M.
AU - Camacho O.
PY - 2024
SP - 166
EP - 177
DO - 10.5220/0013068100003822
PB - SciTePress

in Harvard Style

Vega S., Vasquez-Guevara M. and Camacho O. (2024). A Comparison of Adaptive PID, Adaptive Dual-PID and Adaptive Fractional PID Controllers for a Nonlinear System with Variable Parameters. In Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-717-7, SciTePress, pages 166-177. DOI: 10.5220/0013068100003822