Fractional-order PID control for elevation and azimuth in a twin rotor system

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F25%3A39923442" target="_blank" >RIV/00216275:25410/25:39923442 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/70883521:28140/25:63590959

Výsledek na webu

<a href="https://www.nature.com/articles/s41598-025-18763-8#Ack1" target="_blank" >https://www.nature.com/articles/s41598-025-18763-8#Ack1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1038/s41598-025-18763-8" target="_blank" >10.1038/s41598-025-18763-8</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Fractional-order PID control for elevation and azimuth in a twin rotor system

Popis výsledku v původním jazyce

This paper presents a real-time application of fractional-order PID (FOPID or PID) control for a twin rotor system, optimizing performance beyond conventional PID approaches. A linear model identification is first performed using a black-box approach, with a detailed examination of the system’s static properties. The primary aim is to implement PID control, where the fractional orders and correspond to the integral and derivative components, respectively, offering enhanced flexibility in system dynamics tuning. The proposed control strategy is validated through experiments on a laboratory-scale twin rotor benchmark. Controller parameters are optimized using advanced algorithms, including Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and the Nelder-Mead (NM) method. These algorithms minimize time-domain performance metrics such as Integral of Absolute Error (IAE), Integral of Time-weighted Squared Error (ITSE), Integral of Squared Error (ISE), and Integral of Time-weighted Absolute Error (ITAE). Notably, the optimized GA-based FOPID controller achieves an IAE performance index of 180.33 for the FOPID in elevation. The GA-based FOPID tuning is particularly effective for IAE performance in the azimuth, yielding a value of 109.2, compared to the GA-based IOPID, which results in a value of 247.05. Additionally, the least performance index is observed when comparing the PSO and NM-based FOPID tuning across all performance indexes. These results demonstrate that the FOPID controller significantly enhances control precision and stability in the twin rotor system, highlighting the potential of fractional-order control (FOC) in real-time applications.

Název v anglickém jazyce

Fractional-order PID control for elevation and azimuth in a twin rotor system

Popis výsledku anglicky

This paper presents a real-time application of fractional-order PID (FOPID or PID) control for a twin rotor system, optimizing performance beyond conventional PID approaches. A linear model identification is first performed using a black-box approach, with a detailed examination of the system’s static properties. The primary aim is to implement PID control, where the fractional orders and correspond to the integral and derivative components, respectively, offering enhanced flexibility in system dynamics tuning. The proposed control strategy is validated through experiments on a laboratory-scale twin rotor benchmark. Controller parameters are optimized using advanced algorithms, including Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and the Nelder-Mead (NM) method. These algorithms minimize time-domain performance metrics such as Integral of Absolute Error (IAE), Integral of Time-weighted Squared Error (ITSE), Integral of Squared Error (ISE), and Integral of Time-weighted Absolute Error (ITAE). Notably, the optimized GA-based FOPID controller achieves an IAE performance index of 180.33 for the FOPID in elevation. The GA-based FOPID tuning is particularly effective for IAE performance in the azimuth, yielding a value of 109.2, compared to the GA-based IOPID, which results in a value of 247.05. Additionally, the least performance index is observed when comparing the PSO and NM-based FOPID tuning across all performance indexes. These results demonstrate that the FOPID controller significantly enhances control precision and stability in the twin rotor system, highlighting the potential of fractional-order control (FOC) in real-time applications.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Scientific Reports

ISSN

2045-2322

e-ISSN

—

Svazek periodika

15

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

30

Strana od-do

33590

Kód UT WoS článku

001586154100036

EID výsledku v databázi Scopus

2-s2.0-105017633710