@inproceedings{5eef2b1604834804800fb1fa0c30c5a5,
title = "Design and Tuning of Reduced-Order FoPIλDμControllers using GA Algorithm",
abstract = "The aim of this work is to design and tune a fractional-order PID (FoPID) controller of minimum realization using Genetic Algorithm (GA). The FoPID controller has five parameters to optimize. For minimum order implementation, the fractional-order integral and differential components are realized using a 1st-order rational transfer function that depend only on their corresponding order. The design method is tested by controlling the angle and the position of the inverted algorithm. The tuning procedure of the FoPID controller is conducted by running the GA for different populations. The main points of this work are validated via numerical simulation in MATLAB{\textregistered} environment.",
keywords = "Fractional-Order PID (FoPIλDμ) controller, Genetic Algorithm (GA), Inverted Pendulum, Objective Functions, Proportional-Integral-Derivative (PID) controller, Ziegler-Nichols (Z-N)",
author = "Nahom Haile and Abel Tadesse and Reyad El-Khazali",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 International Conference on Fractional Differentiation and Its Applications, ICFDA 2023 ; Conference date: 14-03-2023 Through 16-03-2023",
year = "2023",
doi = "10.1109/ICFDA58234.2023.10153312",
language = "British English",
series = "2023 International Conference on Fractional Differentiation and Its Applications, ICFDA 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 International Conference on Fractional Differentiation and Its Applications, ICFDA 2023",
address = "United States",
}