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Improving ride comfort of semi-active suspension with magnetorheological damper by fuzzy-PID control

International Journal of Advances in Applied Sciences · Vol. 15 No. 3 (2026) · hlm. 1038–1049

DOI
10.11591/ijaas.v15.i3.pp1038-1049
ISSN
2722-2594, 2252-8814
Terbit
2026-09-01
Penerbit
Institute of Advanced Engineering and Science
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

Semi-active suspension using magnetorheological (MR) damper has become one of the popular choices for improving vehicle ride comfort due to its adjustable damping, affordable cost, and quick response. MR damper has highly nonlinear and obvious hysteresis behavior, so its control becomes complicated. Fuzzy control combined with proportional-integral-derivative (PID) controller is used to study the vibration reduction control strategy of semi-active suspension with MR damper. PID is highly robust, but the control parameters cannot be changed during the control process. Therefore, it has good adjustment ability for specific situations, but cannot effectively adjust nonlinear systems. Fuzzy control performs fuzzy inference based on input variables and fuzzy rules constructed from expert knowledge, and continuously outputs effective control parameters to adjust nonlinear systems. The advantages of both are used to construct fuzzy-PID controller to control MR damper. A quarter-car semi-active suspension with MR damper model is established using MATLAB/Simulink for simulation analysis. Compared with passive and PID, fuzzy-PID reduces the root mean square (RMS) values of body acceleration, suspension travel, and tire deflection, reduces body vibration, and improves ride comfort.

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  • Universiti Putra Malaysia
  • Beibu Gulf University
  • University of Technology Malaysia
  • Philadelphia University
  • Chongqing Electric Power College
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Rekan penulisOrganisasiArtikel bersama
Mohd Amran Mohd RadziUniversiti Putra Malaysia2
Akram Mohammed Al-MahroukPhiladelphia University1
Nashiren Farzilah MailahUniversiti Putra Malaysia1
Leipengyun DengChongqing Electric Power College1
Suhaidi B. ShafieUniversiti Putra Malaysia1

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Sumber metadata: OAI-PMH (metadata jurnal) http://ijaas.iaescore.com/index.php/IJAAS/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Improving ride comfort of semi-active suspension with magnetorheological damper by fuzzy-PID control</dc:title>
	<dc:creator>Kunlun, Zhang</dc:creator>
	<dc:creator>As’arry, Azizan</dc:creator>
	<dc:creator>Zhu, Liucun</dc:creator>
	<dc:creator>Hairuddin, Abdul Aziz</dc:creator>
	<dc:creator>Hassan, Mohd Khair</dc:creator>
	<dc:creator>Md Zain, Mohd Zarhamdy</dc:creator>
	<dc:description xml:lang="en-US">Semi-active suspension using magnetorheological (MR) damper has become one of the popular choices for improving vehicle ride comfort due to its adjustable damping, affordable cost, and quick response. MR damper has highly nonlinear and obvious hysteresis behavior, so its control becomes complicated. Fuzzy control combined with proportional-integral-derivative (PID) controller is used to study the vibration reduction control strategy of semi-active suspension with MR damper. PID is highly robust, but the control parameters cannot be changed during the control process. Therefore, it has good adjustment ability for specific situations, but cannot effectively adjust nonlinear systems. Fuzzy control performs fuzzy inference based on input variables and fuzzy rules constructed from expert knowledge, and continuously outputs effective control parameters to adjust nonlinear systems. The advantages of both are used to construct fuzzy-PID controller to control MR damper. A quarter-car semi-active suspension with MR damper model is established using MATLAB/Simulink for simulation analysis. Compared with passive and PID, fuzzy-PID reduces the root mean square (RMS) values of body acceleration, suspension travel, and tire deflection, reduces body vibration, and improves ride comfort.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US">Universiti Putra Malaysia (UPM)</dc:contributor>
	<dc:date>2026-09-01</dc:date>
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	<dc:identifier>https://ijaas.iaescore.com/index.php/IJAAS/article/view/21391</dc:identifier>
	<dc:identifier>10.11591/ijaas.v15.i3.pp1038-1049</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Advances in Applied Sciences; Vol 15, No 3: September 2026; 1038-1049</dc:source>
	<dc:source>2722-2594</dc:source>
	<dc:source>2252-8814</dc:source>
	<dc:source>10.11591/ijaas.v15.i3</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijaas.iaescore.com/index.php/IJAAS/article/view/21391/13487</dc:relation>
	<dc:relation>https://ijaas.iaescore.com/index.php/IJAAS/article/downloadSuppFile/21391/2942</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2026 Zhang Kunlun, Azizan As’arry, Liucun Zhu, Abdul Aziz Hairuddin, Mohd Khair Hassan,  Mohd Zarhamdy Md Zain</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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