Vibration Mitigation of Semi-Active Vehicle Suspension System Incorporating Magnetorheological Damper Using Hybrid Control

<div class="section abstract"><div class="htmlview paragraph">Magnetorheological (MR) dampers, known for their remarkable dependability and cost-effectiveness, have established themselves as prime semi-active vibration control devices in engineering systems. MR dampers are categorized as adaptive devices because their features may be readily adjusted by applying a regulated voltage signal. Their ability to offer superior performance while mitigating the drawbacks of fully active actuators underscores their practical significance. This research is to investigate some system hybrid controllers using a combination state derivative feedback and a linear-quadratic regulator for use in conjunction with the damper controller of a semi-active suspension of a Quarter vehicle model to improve ride comfort and vehicle stability. The mathematical model of 3 degrees of freedom for semi-active suspension using MR dampers will be derived and simulated using MATLAB and SIMULINK software. In order to quantify the effectiveness of the suggested control strategies, the control performance criteria will be assessed in both the time domain and the frequency domain engineering systems. Initial findings demonstrate an improvement in the semi-active system, which compared with the passive suspension system without any control system and the semi-active suspension system with a classical PID controller.</div></div>

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Publication Details

Journal
SAE technical papers on CD-ROM/SAE technical paper series
Published
2025-03-31
DOI
https://doi.org/10.4271/2025-01-8269
Primary Topic
Vibration Control and Rheological Fluids
Type
article
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0.00
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article

Vibration Mitigation of Semi-Active Vehicle Suspension System Incorporating Magnetorheological Damper Using Hybrid Control

Mahmoud A. Essam, H. Metered, Mohamed M.Faragallah
SAE technical papers on CD-ROM/SAE technical paper series
Vibration Control and Rheological Fluids
article

Vibration Mitigation of Semi-Active Vehicle Suspension System Incorporating Magnetorheological Damper Using Hybrid Control

Mahmoud A. Essam, H. Metered, Mohamed M.Faragallah
article en

Abstract

<div class="section abstract"><div class="htmlview paragraph">Magnetorheological (MR) dampers, known for their remarkable dependability and cost-effectiveness, have established themselves as prime semi-active vibration control devices in engineering systems. MR dampers are categorized as adaptive devices because their features may be readily adjusted by applying a regulated voltage signal. Their ability to offer superior performance while mitigating the drawbacks of fully active actuators underscores their practical significance. This research is to investigate some system hybrid controllers using a combination state derivative feedback and a linear-quadratic regulator for use in conjunction with the damper controller of a semi-active suspension of a Quarter vehicle model to improve ride comfort and vehicle stability. The mathematical model of 3 degrees of freedom for semi-active suspension using MR dampers will be derived and simulated using MATLAB and SIMULINK software. In order to quantify the effectiveness of the suggested control strategies, the control performance criteria will be assessed in both the time domain and the frequency domain engineering systems. Initial findings demonstrate an improvement in the semi-active system, which compared with the passive suspension system without any control system and the semi-active suspension system with a classical PID controller.</div></div>

SAE technical papers on CD-ROM/SAE technical paper seriesVol. 1
Higher Technological Institute (EG), Helwan University (EG)
Openalex Percentile: Top 94%
Vibration Control and Rheological Fluids
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Vibration Mitigation of Semi-Active Vehicle Suspension System Incorporating Magnetorheological Damper Using Hybrid Control — Mahmoud A. Essam, H. Metered, et al. · SAE technical papers on CD-ROM/SAE technical paper series (2025) | TGRS Research Map | TGRS