Enhancing ride comfort of semi-active suspension through collaboration control using dung beetle optimizer optimized Fuzzy PID controller

The enhancement of automobile quality is a significant area of modern research and development, with a focus on improving ride comfort and driving experience. This is achieved not only through structural improvements but also through the optimization of suspension control strategies. To enhance the...

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Main Authors: Kunlun Zhang, Azizan As’arry, Liucun Zhu, Abdul Aziz Hairuddin, Mohd Khair Hassan, Mohd Zarhamdy Md Zain
Format: Article
Language:English
Published: SAGE Publishing 2025-01-01
Series:Advances in Mechanical Engineering
Online Access:https://doi.org/10.1177/16878132251314332
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author Kunlun Zhang
Azizan As’arry
Liucun Zhu
Abdul Aziz Hairuddin
Mohd Khair Hassan
Mohd Zarhamdy Md Zain
author_facet Kunlun Zhang
Azizan As’arry
Liucun Zhu
Abdul Aziz Hairuddin
Mohd Khair Hassan
Mohd Zarhamdy Md Zain
author_sort Kunlun Zhang
collection DOAJ
description The enhancement of automobile quality is a significant area of modern research and development, with a focus on improving ride comfort and driving experience. This is achieved not only through structural improvements but also through the optimization of suspension control strategies. To enhance the ability of online real-time adjustment and overcome the limitations of fuzzy control, this study combines dung beetle optimizer (DBO), Fuzzy control, and Proportional-Integral-Derivative (PID) control to propose a reduced optimization complexity control method to improve MR damper control. The control parameters generated by fuzzy control are utilized as the initial values for DBO iteration to obtain the optimal solution, which is subsequently fed into the PID controller to regulate changes in the actuator’s magnetic field. Use MATLAB/Simulink to build a quarter semi-active suspension model with magnetorheological (MR) dampers for simulation analysis. Under sinusoidal and random disturbances, compared with the passive suspension, the vehicle acceleration of the Fuzzy-DBO-PID controller is reduced by 51%, 50.82%, 47.56% and 11.42%. Compared with Fuzzy-PID, the vehicle acceleration of Fuzzy-DBO-PID is reduced by 25.98%, 32.86%, 29.41%, and 7.19% on sinusoidal and random disturbances, which improves the ride comfort and verifies the effectiveness of the proposed control strategy.
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institution Kabale University
issn 1687-8140
language English
publishDate 2025-01-01
publisher SAGE Publishing
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series Advances in Mechanical Engineering
spelling doaj-art-6a54c52fd11c4bc69fa6ad0fe5173eb82025-01-18T12:03:40ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402025-01-011710.1177/16878132251314332Enhancing ride comfort of semi-active suspension through collaboration control using dung beetle optimizer optimized Fuzzy PID controllerKunlun Zhang0Azizan As’arry1Liucun Zhu2Abdul Aziz Hairuddin3Mohd Khair Hassan4Mohd Zarhamdy Md Zain5Department of Mechanical and Manufacturing Engineering, Faculty of Engineering, Universiti Putra Malaysia (UPM), Serdang, Selangor, MalaysiaDepartment of Mechanical and Manufacturing Engineering, Faculty of Engineering, Universiti Putra Malaysia (UPM), Serdang, Selangor, MalaysiaAdvanced Science and Technology Research Institute, Beibu Gulf University, Qinzhou, ChinaDepartment of Mechanical and Manufacturing Engineering, Faculty of Engineering, Universiti Putra Malaysia (UPM), Serdang, Selangor, MalaysiaDepartment of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Putra Malaysia (UPM), Serdang, Selangor, MalaysiaDepartment of Applied Mechanics & Design, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia (UTM), Skudai, Johor, MalaysiaThe enhancement of automobile quality is a significant area of modern research and development, with a focus on improving ride comfort and driving experience. This is achieved not only through structural improvements but also through the optimization of suspension control strategies. To enhance the ability of online real-time adjustment and overcome the limitations of fuzzy control, this study combines dung beetle optimizer (DBO), Fuzzy control, and Proportional-Integral-Derivative (PID) control to propose a reduced optimization complexity control method to improve MR damper control. The control parameters generated by fuzzy control are utilized as the initial values for DBO iteration to obtain the optimal solution, which is subsequently fed into the PID controller to regulate changes in the actuator’s magnetic field. Use MATLAB/Simulink to build a quarter semi-active suspension model with magnetorheological (MR) dampers for simulation analysis. Under sinusoidal and random disturbances, compared with the passive suspension, the vehicle acceleration of the Fuzzy-DBO-PID controller is reduced by 51%, 50.82%, 47.56% and 11.42%. Compared with Fuzzy-PID, the vehicle acceleration of Fuzzy-DBO-PID is reduced by 25.98%, 32.86%, 29.41%, and 7.19% on sinusoidal and random disturbances, which improves the ride comfort and verifies the effectiveness of the proposed control strategy.https://doi.org/10.1177/16878132251314332
spellingShingle Kunlun Zhang
Azizan As’arry
Liucun Zhu
Abdul Aziz Hairuddin
Mohd Khair Hassan
Mohd Zarhamdy Md Zain
Enhancing ride comfort of semi-active suspension through collaboration control using dung beetle optimizer optimized Fuzzy PID controller
Advances in Mechanical Engineering
title Enhancing ride comfort of semi-active suspension through collaboration control using dung beetle optimizer optimized Fuzzy PID controller
title_full Enhancing ride comfort of semi-active suspension through collaboration control using dung beetle optimizer optimized Fuzzy PID controller
title_fullStr Enhancing ride comfort of semi-active suspension through collaboration control using dung beetle optimizer optimized Fuzzy PID controller
title_full_unstemmed Enhancing ride comfort of semi-active suspension through collaboration control using dung beetle optimizer optimized Fuzzy PID controller
title_short Enhancing ride comfort of semi-active suspension through collaboration control using dung beetle optimizer optimized Fuzzy PID controller
title_sort enhancing ride comfort of semi active suspension through collaboration control using dung beetle optimizer optimized fuzzy pid controller
url https://doi.org/10.1177/16878132251314332
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