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Enhance ride comfort and road handling on active suspension system by PSO-based state-feedback controller

Determine the state feedback controller gain in the LQR controller is quite challenging as it requires multiple attempts of trial and error process. To eliminate the trial and error method when selecting the optimal controller parameter, we propose a PSO-based state feedback controller for the activ...

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Main Authors: Wijaya, Andika Aji, Yakub, Fitri, Maslan, Mohd. Nazmin, Romdlony, Muhammad Zakiyullah
Format: Conference or Workshop Item
Published: 2022
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://eprints.utm.my/id/eprint/100902/
http://dx.doi.org/10.1007/978-981-16-8954-3_12
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spelling my.utm.1009022023-05-25T03:11:46Z http://eprints.utm.my/id/eprint/100902/ Enhance ride comfort and road handling on active suspension system by PSO-based state-feedback controller Wijaya, Andika Aji Yakub, Fitri Maslan, Mohd. Nazmin Romdlony, Muhammad Zakiyullah TJ Mechanical engineering and machinery Determine the state feedback controller gain in the LQR controller is quite challenging as it requires multiple attempts of trial and error process. To eliminate the trial and error method when selecting the optimal controller parameter, we propose a PSO-based state feedback controller for the active suspension system. It is an intelligent-based method to determine state feedback gain controller by employing optimization technique using Particle Swarm Optimization (PSO). Unlike optimization-based LQR controller which seek the optimum Q and R matrices and then calculate the LQR feedback gain, in this study, the PSO algorithm is used to determine feedback gain controller parameters directly. In addition to the simple and straightforward controller design approach, the proposed controller is designed to obtain the optimum state feedback gain for improving both ride comfort and road handling aspects simultaneously by employing a multi-objective optimization technique. The proposed controller is applied on a quarter-car active suspension model. The controller performance is evaluated using Performance Index value based on the response of the suspension system under different road excitation, i.e. bump road profile and sinusoidal road profile at the frequency range from 1 to 10 Hz. The simulation results showed that the proposed controller improves both ride comfort and road handling successfully. 2022 Conference or Workshop Item PeerReviewed Wijaya, Andika Aji and Yakub, Fitri and Maslan, Mohd. Nazmin and Romdlony, Muhammad Zakiyullah (2022) Enhance ride comfort and road handling on active suspension system by PSO-based state-feedback controller. In: 4th Symposium on Intelligent Manufacturing and Mechatronics, SIMM2021, 8 November 2021 - 8 November 2021, Melaka, Malaysia. http://dx.doi.org/10.1007/978-981-16-8954-3_12
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Wijaya, Andika Aji
Yakub, Fitri
Maslan, Mohd. Nazmin
Romdlony, Muhammad Zakiyullah
Enhance ride comfort and road handling on active suspension system by PSO-based state-feedback controller
description Determine the state feedback controller gain in the LQR controller is quite challenging as it requires multiple attempts of trial and error process. To eliminate the trial and error method when selecting the optimal controller parameter, we propose a PSO-based state feedback controller for the active suspension system. It is an intelligent-based method to determine state feedback gain controller by employing optimization technique using Particle Swarm Optimization (PSO). Unlike optimization-based LQR controller which seek the optimum Q and R matrices and then calculate the LQR feedback gain, in this study, the PSO algorithm is used to determine feedback gain controller parameters directly. In addition to the simple and straightforward controller design approach, the proposed controller is designed to obtain the optimum state feedback gain for improving both ride comfort and road handling aspects simultaneously by employing a multi-objective optimization technique. The proposed controller is applied on a quarter-car active suspension model. The controller performance is evaluated using Performance Index value based on the response of the suspension system under different road excitation, i.e. bump road profile and sinusoidal road profile at the frequency range from 1 to 10 Hz. The simulation results showed that the proposed controller improves both ride comfort and road handling successfully.
format Conference or Workshop Item
author Wijaya, Andika Aji
Yakub, Fitri
Maslan, Mohd. Nazmin
Romdlony, Muhammad Zakiyullah
author_facet Wijaya, Andika Aji
Yakub, Fitri
Maslan, Mohd. Nazmin
Romdlony, Muhammad Zakiyullah
author_sort Wijaya, Andika Aji
title Enhance ride comfort and road handling on active suspension system by PSO-based state-feedback controller
title_short Enhance ride comfort and road handling on active suspension system by PSO-based state-feedback controller
title_full Enhance ride comfort and road handling on active suspension system by PSO-based state-feedback controller
title_fullStr Enhance ride comfort and road handling on active suspension system by PSO-based state-feedback controller
title_full_unstemmed Enhance ride comfort and road handling on active suspension system by PSO-based state-feedback controller
title_sort enhance ride comfort and road handling on active suspension system by pso-based state-feedback controller
publishDate 2022
url http://eprints.utm.my/id/eprint/100902/
http://dx.doi.org/10.1007/978-981-16-8954-3_12
_version_ 1768006582257319936
score 13.211869

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