Intelligent Optimization of Force Tracking Parameters for MR Damper Modelling using Firefly Algorithm

Magnetorheological (MR) damper system is commonly used to replace the conventional damper in the suspension system due to its low power consumption, fast time response and simple structure. Since inner loop controller is very important in defining the amount of current supplied to the MR damper syst...

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Published in:Proceedings of the 2019 2nd International Conference on Applied Engineering, ICAE 2019
Main Author: Ab Talib M.H.; Darus I.Z.M.; Yatim H.M.; Shaharuddin N.M.R.; Hadi M.S.; Jamali A.
Format: Conference paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2019
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85095452230&doi=10.1109%2fICAE47758.2019.9221705&partnerID=40&md5=4921192126947dbdae4b6fc767690532
id 2-s2.0-85095452230
spelling 2-s2.0-85095452230
Ab Talib M.H.; Darus I.Z.M.; Yatim H.M.; Shaharuddin N.M.R.; Hadi M.S.; Jamali A.
Intelligent Optimization of Force Tracking Parameters for MR Damper Modelling using Firefly Algorithm
2019
Proceedings of the 2019 2nd International Conference on Applied Engineering, ICAE 2019


10.1109/ICAE47758.2019.9221705
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85095452230&doi=10.1109%2fICAE47758.2019.9221705&partnerID=40&md5=4921192126947dbdae4b6fc767690532
Magnetorheological (MR) damper system is commonly used to replace the conventional damper in the suspension system due to its low power consumption, fast time response and simple structure. Since inner loop controller is very important in defining the amount of current supplied to the MR damper system, many existing controllers are found not well-structured in terms of calculating the optimum value of the controller parameter. Poor control design using the conventional method will cause the output current obtained for the MR damper to be unpredictable. To overcome this problem, an intelligent optimization method known as firefly algorithm (FA) was used by this study to optimize the force tracking controller (FTC) parameters as to achieve the exact damping force of MR damper system. The MR damper was first developed using Spencer model and the required voltage input was then provided by the FTC. The controller parameters were tuned using intelligent FA method in order to find the optimum values which would identify the accuracy of the force tracking that followed the MR damping force. The simulation shows that the FTC with FA technique is able to track the desired force better than the heuristic method up to 1.71 % error considering a given desired input force. © 2019 IEEE.
Institute of Electrical and Electronics Engineers Inc.

English
Conference paper
All Open Access; Green Open Access
author Ab Talib M.H.; Darus I.Z.M.; Yatim H.M.; Shaharuddin N.M.R.; Hadi M.S.; Jamali A.
spellingShingle Ab Talib M.H.; Darus I.Z.M.; Yatim H.M.; Shaharuddin N.M.R.; Hadi M.S.; Jamali A.
Intelligent Optimization of Force Tracking Parameters for MR Damper Modelling using Firefly Algorithm
author_facet Ab Talib M.H.; Darus I.Z.M.; Yatim H.M.; Shaharuddin N.M.R.; Hadi M.S.; Jamali A.
author_sort Ab Talib M.H.; Darus I.Z.M.; Yatim H.M.; Shaharuddin N.M.R.; Hadi M.S.; Jamali A.
title Intelligent Optimization of Force Tracking Parameters for MR Damper Modelling using Firefly Algorithm
title_short Intelligent Optimization of Force Tracking Parameters for MR Damper Modelling using Firefly Algorithm
title_full Intelligent Optimization of Force Tracking Parameters for MR Damper Modelling using Firefly Algorithm
title_fullStr Intelligent Optimization of Force Tracking Parameters for MR Damper Modelling using Firefly Algorithm
title_full_unstemmed Intelligent Optimization of Force Tracking Parameters for MR Damper Modelling using Firefly Algorithm
title_sort Intelligent Optimization of Force Tracking Parameters for MR Damper Modelling using Firefly Algorithm
publishDate 2019
container_title Proceedings of the 2019 2nd International Conference on Applied Engineering, ICAE 2019
container_volume
container_issue
doi_str_mv 10.1109/ICAE47758.2019.9221705
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85095452230&doi=10.1109%2fICAE47758.2019.9221705&partnerID=40&md5=4921192126947dbdae4b6fc767690532
description Magnetorheological (MR) damper system is commonly used to replace the conventional damper in the suspension system due to its low power consumption, fast time response and simple structure. Since inner loop controller is very important in defining the amount of current supplied to the MR damper system, many existing controllers are found not well-structured in terms of calculating the optimum value of the controller parameter. Poor control design using the conventional method will cause the output current obtained for the MR damper to be unpredictable. To overcome this problem, an intelligent optimization method known as firefly algorithm (FA) was used by this study to optimize the force tracking controller (FTC) parameters as to achieve the exact damping force of MR damper system. The MR damper was first developed using Spencer model and the required voltage input was then provided by the FTC. The controller parameters were tuned using intelligent FA method in order to find the optimum values which would identify the accuracy of the force tracking that followed the MR damping force. The simulation shows that the FTC with FA technique is able to track the desired force better than the heuristic method up to 1.71 % error considering a given desired input force. © 2019 IEEE.
publisher Institute of Electrical and Electronics Engineers Inc.
issn
language English
format Conference paper
accesstype All Open Access; Green Open Access
record_format scopus
collection Scopus
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