Vibration control of semi-active suspension system using PID controller with advanced firefly algorithm and particle swarm optimization
Magnetorheological (MR) damper control for semi-active system is one of the areas of
interest investigated to improve the ride comfort and stability of vehicle performance. Many …
interest investigated to improve the ride comfort and stability of vehicle performance. Many …
Optimal design and performance analysis of magnetorheological damper based on multiphysics coupling model
G Hu, L Wu, Y Deng, L Yu, G Li - Journal of Magnetism and Magnetic …, 2022 - Elsevier
Magnetorheological (MR) fluid is a kind of intelligent magnetic material, and MR damper is
widely used in various fields based on its rheological properties. Therefore, aiming at the …
widely used in various fields based on its rheological properties. Therefore, aiming at the …
An optimal NARX neural network identification model for a magnetorheological damper with force-distortion behavior
Q Liu, W Chen, H Hu, Q Zhu, Z Xie - Frontiers in Materials, 2020 - frontiersin.org
This paper presents an optimal NARX neural network identification model for a
magnetorheological (MR) damper with the force-distortion behavior. An intensive …
magnetorheological (MR) damper with the force-distortion behavior. An intensive …
Fuzzy sliding mode control of vehicle magnetorheological semi-active air suspension
G Li, Z Ruan, R Gu, G Hu - Applied Sciences, 2021 - mdpi.com
In order to reduce vehicle vibration during driving conditions, a fuzzy sliding mode control
strategy (FSMC) for semi-active air suspension based on the magnetorheological (MR) …
strategy (FSMC) for semi-active air suspension based on the magnetorheological (MR) …
Robust Switched H Control of T–S Fuzzy-Based MRF Suspension Systems Subject to Input Saturation and Time-Varying Delay
This article focuses on solving the optimal control problem for magnetorheological fluid
(MRF)-based semiactive suspension (SAS) systems with input saturation and time-varying …
(MRF)-based semiactive suspension (SAS) systems with input saturation and time-varying …
Effect of optimal fuzzy models for pneumatic magnetorheological suspension system on ride performance under different conditions
AS Gad, SM El-Demerdash - … Journal of Vehicle Dynamics, Stability, and …, 2022 - sae.org
In this article, the nonlinear pneumatic magnetorheological (MR) suspension system is
designed to improve vehicle characteristics in both ride comfort and dynamic stability. The …
designed to improve vehicle characteristics in both ride comfort and dynamic stability. The …
Hammerstein–Wiener modelling of a magneto-rheological dampers considering the magnetization dynamics
Magneto-rheological dampers are an effective technology to control the damping coefficient
of a semi-active suspension. Most of the contributions in literature propose damper models …
of a semi-active suspension. Most of the contributions in literature propose damper models …
Online DE optimization for fuzzy-PID controller of semi-active suspension system featuring MR damper
In pursuit of a comfortable vehicle driving in different road profiles, intelligent methods are
used to improve the vehicle's suspension system. The semi-active suspension system …
used to improve the vehicle's suspension system. The semi-active suspension system …
Experimental study and modeling of rubber joints for railway vehicles using magnetorheological shear stiffening elastomers
L Gong, N Gong, B Wang, J Yang, H Du… - Smart Materials and …, 2023 - iopscience.iop.org
With the rapid development of transportation industry, advanced rail vehicle technology
receives more attention than ever. The stiffness of the train's rubber joint at the primary …
receives more attention than ever. The stiffness of the train's rubber joint at the primary …
An adaptive control approach for semi-active suspension systems under unknown road disturbance input using hardware-in-the-loop simulation
This article presents an application of the adaptive control method to semi-active suspension
systems in the presence of unknown disturbance and parametric uncertainty. Due to the …
systems in the presence of unknown disturbance and parametric uncertainty. Due to the …