Control and optimization of a half-car active suspension system with classical and modified PID-based controllers using metaheuristic techniques

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27730%2F25%3A10259009" target="_blank" >RIV/61989100:27730/25:10259009 - isvavai.cz</a>

Result on the web

<a href="https://www.nature.com/articles/s41598-025-24923-7" target="_blank" >https://www.nature.com/articles/s41598-025-24923-7</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1038/s41598-025-24923-7" target="_blank" >10.1038/s41598-025-24923-7</a>

Result language

angličtina

Original language name

Control and optimization of a half-car active suspension system with classical and modified PID-based controllers using metaheuristic techniques

Original language description

In automobiles and road vehicles such as buses, high-performance suspension systems are essential to ensure passenger comfort by minimizing the effects of road disturbances. Therefore, effective control of suspension systems is of great importance. This study investigates the control of a half-car active suspension system using Proportional-Integral-Derivative (PID), Fractional Order Proportional-Integral-Derivative (FOPID), Fractional Order Proportional-Integral + Fractional Order Derivative (FOPI + FOPD), Tilt-Integral-Derivative (TID), and Proportional-Integral-Derivative Acceleration (PIDA) controllers. The tuning of these controllers was performed using five different metaheuristic optimization algorithms: the Artemis Optimizer (AO), Escape Algorithm (ESC), Genghis Khan Shark Optimizer (GKSO), A Novel Weighted Mean of Vectors (INFO), and Moss Growth Optimization (MGO). The aim of this work is to determine the most efficient controller-algorithm combination for optimal system performance. Each controller was individually paired with each optimization algorithm, resulting in 25 distinct simulations. Performance was evaluated using the Integral Time-weighted Absolute Error (ITAE) as the objective function. Among all configurations, the ESC algorithm achieved the lowest ITAE value. Although the more complex controller structures were expected to outperform the classical PID, the PID controller achieved the best overall result, surpassing expectations. This outcome highlights that simple controller architectures, when properly tuned, can still deliver highly effective performance and should not be underestimated in control system design.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10700 - Other natural sciences

Project

<a href="/en/project/TN02000025" target="_blank" >TN02000025: National Centre for Energy II</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2025

Confidentiality

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

Name of the periodical

Scientific Reports

ISSN

2045-2322

e-ISSN

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Volume of the periodical

15

Issue of the periodical within the volume

1

Country of publishing house

GB - UNITED KINGDOM

Number of pages

35

Pages from-to

1-35

UT code for WoS article

001620578700050

EID of the result in the Scopus database

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