Response of a quarter car model with optimal magnetorheological damper parameters

2013 ◽  
Vol 332 (9) ◽  
pp. 2191-2206 ◽  
Author(s):  
R.S. Prabakar ◽  
C. Sujatha ◽  
S. Narayanan
Keyword(s):  
Magnetorheological Damper ◽  
Quarter Car Model ◽  
Car Model ◽  
Quarter Car

Magnetorheological damper in semi-active vehicle suspension system using SDRE control for a quarter car model

2018 ◽  
Author(s):  
Maria Aline Gonçalves ◽  
Rodrigo Tumolin Rocha ◽  
Frederic Conrad Janzen ◽  
José Manoel Balthazar ◽  
Angelo Marcelo Tusset
Keyword(s):  
Suspension System ◽  
Magnetorheological Damper ◽  
Vehicle Suspension ◽  
Quarter Car Model ◽  
Car Model ◽  
Quarter Car ◽  
Vehicle Suspension System ◽  
Active Vehicle Suspension System

scholarly journals Semi-active control of a nonlinear quarter-car model of hyperloop capsule vehicle with Skyhook and Mixed Skyhook-Acceleration Driven Damper controller

2021 ◽  
Vol 13 (2) ◽  
pp. 168781402199952
Author(s):  
Birhan Abebaw Negash ◽  
Wonhee You ◽  
Jinho Lee ◽  
Changyoung Lee ◽  
Kwansup Lee
Keyword(s):  
Resonance Frequency ◽  
Mr Damper ◽  
Active Suspension ◽  
Vertical Displacement ◽  
Suspension System ◽  
Magnetorheological Damper ◽  
Quarter Car Model ◽  
Car Model ◽  
Quarter Car ◽  
And Performance

A suspension system is one of the integral parts of a hyperloop capsule train, which is used to isolate the car-body from bogie vibration to provide a safer and comfortable service. A semi-active suspension system is one of the best candidates for its advantageous features. The performance of a semi-active suspension system relies greatly on the control strategy applied. In this article, Skyhook (SH) and mixed Skyhook-Acceleration Driven Damper (SH-ADD) controlling algorithms are adopted for a nonlinear quarter-car model of a capsule with semi-active magnetorheological damper. The nonlinear vertical dynamic response and performance of the proposed control algorithms are evaluated under MATLAB Simulink environment and hardware-in-loop-system (HILS) environment. The SH controlled semi-active suspension system performance is found to be better at the first resonance frequency and worse at the second resonance frequency than the passive MR damper, but the mixed SH-ADD controlled semi-active suspension system performs better than the passive at all frequency domains. Taking the root-mean-square (RMS) value of sprung mass vertical displacement as an evaluation criterion, the response is reduced by 58.49% with mixed SH-ADD controller and by 54.49% with the SH controller compared to the passive MR damper suspension.

Evaluation of Different Control Policies of Semi-Active MR Fluid Damper of a Quarter-Car Model

2012 ◽  
Vol 165 ◽  
pp. 310-315 ◽  
Author(s):  
Mahmudur Rahman ◽  
Muhammad Mahbubur Rashid ◽  
Asan G.A. Muthalif ◽  
Banna Kasemi
Keyword(s):  
Control Algorithm ◽  
Passive Control ◽  
Magnetorheological Damper ◽  
Effective Control ◽  
Proportional Integral Derivative ◽  
Damping Force ◽  
Proportional Integral ◽  
Quarter Car Model ◽  
Car Model ◽  
Quarter Car

Proportional Integral Derivative and clipped-optimal control strategy controllers are studied to control the response of Quarter-car suspension profile. A Semi-active device is used for this purpose because it carries valuable result which maintains the reliability of passive control methods and includes the advantage of the adjustable parameter characteristics of active systems. Semi-active devices like Magnetorheological fluids dampers are very effective to control vibration, which use MR fluids to produce controllable damping force and provide both the reliability of passive systems and the facility of active control systems with small power supply. The quarter car model is used here can be described as a nonlinear two degrees of freedom system which is subject to excitation from different road profile. For the best possible reduction of vibration in suspension systems, various Magnetorheological damper models are studied which Bouc-wen model, Neuro-fuzzy model and Bingham model. The performances of these models are evaluated to select a best model. The quarter-car model is executed using step input with two most common and effective control algorithm in vehicle suspension control which are linear quadratic regulator control, and Proportional Integral Derivative control algorithm. The main objective of this study is to evaluate performances of these control algorithms.

An insight into linear quarter car model accuracy

2010 ◽  
Vol 49 (3) ◽  
pp. 463-480 ◽  
Author(s):  
Damien Maher ◽  
Paul Young
Keyword(s):  
Model Accuracy ◽  
Quarter Car Model ◽  
Car Model ◽  
Quarter Car ◽  
Insight Into

scholarly journals A Novel Approach in Designing PID Controller for Semi-active Quarter Car Model

2016 ◽  
Vol 70 ◽  
pp. 04001
Author(s):  
Vedant Mehta ◽  
Yash Gandhi ◽  
Mayuri Patel ◽  
Bhargav Gadhvi ◽  
Anil Markana ◽  
...  
Keyword(s):  
Pid Controller ◽  
Quarter Car Model ◽  
Car Model ◽  
Novel Approach ◽  
Quarter Car
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