scholarly journals Modeling Analysis and Simulation of Wheel Suspension System's Response for Quarter Car Model by Using 20-sim Software for Honda Civic Lx 2019 Sedan

2021 ◽  
Author(s):  
Hamid Hussain Hadwan ◽  
Mushrek Alawi Mahdi ◽  
Ahmed Waleed Hussein
Keyword(s):  
Modeling And Simulation ◽  
Graphical Representation ◽  
Action Plan ◽  
Suspension System ◽  
Vehicle Stability ◽  
Displacement Potential ◽  
System Parameters ◽  
Quarter Car Model ◽  
Car Model ◽  
Modeling Analysis

This paper exhibits a study of car passive and active- suspension system to improving drive exhilarate to passengers while also enhancing vehicle stability by decreasing the effect of oscillation on the suspension. Modeling and simulation by using the bond diagram. They much concede a prime arrangement of the machine to the exterior surrounding: street quality, atmospherically circumstances, while guarantying driver as well as passengers, major safeness and more potentially exhilarate. Automotive aid it course manners. The result cleared this action plan at different set during the vehicle mean, but particularly in evolution level. It is also clear the proportion of suspension system's mass to the vehicle's mass. Also graphical representation of suspension system' parameters like vertical passenger displacement, potential energy of mass of suspension system and acceleration. To foretell the comportment of a car, it is necessary to make design, modeling, and simulation. Honda Civic Lx 2019 sedan car has used for modeling, and simulation.

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

Construction of an active suspension system of a quarter car model using fuzzy reasoning based on single input rule modules

2000 ◽  
Vol 23 (3/4) ◽  
pp. 297 ◽  
Author(s):  
Toshio Yoshimura ◽  
Hirofumi Kubota ◽  
Kazuyoshi Takei ◽  
Masao Kurimoto ◽  
Junichi Hino
Keyword(s):  
Fuzzy Reasoning ◽  
Active Suspension ◽  
Suspension System ◽  
Quarter Car Model ◽  
Car Model ◽  
Single Input ◽  
Quarter Car

Energy harvesting from suspension system and self-powered vibration control for a seven degree of freedom vehicle model

2017 ◽  
Vol 232 (3) ◽  
pp. 342-356 ◽  
Author(s):  
Panagiotis Bazios ◽  
Farbod Khoshnoud ◽  
Ibrahim Esat
Keyword(s):  
Active Suspension ◽  
Suspension System ◽  
Degree Of Freedom ◽  
Roll Motion ◽  
Vehicle Model ◽  
Quarter Car Model ◽  
Car Model ◽  
Quarter Car ◽  
Self Powered ◽  
Regeneration Capability

Traditionally, a quarter-car model and a sky-hook controller are employed to derive analytical expressions that describe conditions for self-powered operation. The main contribution of this work consists in using a seven degree of freedom vehicle model to determine numerically the condition for self-powered operation of an active suspension system with electromagnetic actuators. The performance of proportional–integral–derivative, linear quadratic regulator, and fuzzy Logic suspension controllers that employ feedback information for heave, pitch, and roll motion is evaluated under self-powered operation. An objective function consisting of a weighted sum of performance measures, including root mean square values for accelerations, road holding, actuator travel, and power regeneration capability, is used to determine equivalent actuator damping values and controller gains that enhance self-powered operation. The resulting optimal designs for each control strategies are compared by means of frequency responses to evaluate their performance and power regeneration capability, as well as to determine the effect of self-powered operation on these characteristics. This investigation shows that the performance of a self-powered active suspension systems, based on heave, pitch, and roll motion information, can be optimized to approach that of an active suspension system with external power supply; the degree of degradation depends on the particular suspension controller and the design objectives that are adopted. The performance improvement compared to a suspension system designed using a quarter car model and a sky-hook controller is also presented.

Optimization of improved suspension system with inerter device of the quarter-car model in vibration analysis

2010 ◽  
Vol 81 (10) ◽  
pp. 1427-1437 ◽  
Author(s):  
Alexey Kuznetsov ◽  
Musa Mammadov ◽  
Ibrahim Sultan ◽  
Eldar Hajilarov
Keyword(s):  
Vibration Analysis ◽  
Suspension System ◽  
Quarter Car Model ◽  
Car Model ◽  
Quarter Car

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.

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