An adaptive compensator for a vehicle suspension system

Ozbulur, V.

doi:10.1177/1077546314520831

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…The purpose of a lag compensator is to improve the static error constant by increasing only the low frequency gain without any resulting instability and increase the phase margin of the system to yield the desired transient response [15]. Fig.…”

Section: Lag Compensatormentioning

confidence: 99%

Robust Vehicle Suspension System by Converting Active & Passive Control of a Vehicle to Semi-Active Control System Analytically

Elahi¹,

Israr²,

Khan³

et al. 2016

JOACE

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This research article deals with a simplified translational model of an automotive suspension system which is constructed by considering the translation motion of one wheel of a car. Passive Vehicle Suspension System is converted into Semi Active Vehicle System. Major advantage achieved by this system is that it adjusts the damping of the suspension system without the application of any actuator by using MATLAB® simulations. The semiactive control is found to control the vibration of suspension system very well.  Index Terms-vibration control, translational model, vehicle suspension system, active control system, passive control system

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Section: Lag Compensatormentioning

confidence: 99%

Robust Vehicle Suspension System by Converting Active & Passive Control of a Vehicle to Semi-Active Control System Analytically

Elahi¹,

Israr²,

Khan³

et al. 2016

JOACE

View full text Add to dashboard Cite

show abstract

“…Generally, two main approaches are founded for the modeling of the suspension system. In the first approach, the mechanism of the suspension system is ignored, and only a simple spring–mass–damper model has been used to model and optimize the suspension system (Allison et al, 2014; Georgiou et al, 2014; Nagarkar et al, 2016; Nariman-Zadeh et al, 2010; Ozbulur, 2014; Soong et al, 2013; Sireteanu et al, 2020). The obtained results of such research studies do not have enough details to implement directly in the real systems.…”

Section: Introductionmentioning

confidence: 99%

Constraint optimization of nonlinear McPherson suspension system using genetic algorithm and ADAMS software

Vahedi

Jamali

2021

Journal of Vibration and Control

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In this article, optimization of the McPherson suspension mechanism of a real car named Arisan is considered. In this regard, a model based on a real-life suspension system is proposed with the least simplification. This model is built in the ADAMS/View software based on the actual size of the suspension mechanism of Arisan. Moreover, the user-written code of the genetic algorithm in C is added as a plug-in to the ADAMS/View software in a completely innovative way to optimize the suspension system. 16 parameters of the suspension system are selected as design variables to wholly handle its geometry. The value of all design variables is optimally found by GA to minimize the variation of the camber angle as an objective function. Comparison of the obtained optimum suspension by the proposed method with the actual suspension system of Arisan shows a 23.5% improvement in the camber variation angle. It is worth noting that the proposed method does not require a mathematical model of the suspension system that leads to some simplifications such as linearization and non-friction joints. The proposed method can be used for modeling and optimization of other nonlinear dynamical systems such as robotics and building structures.

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Multi-objective optimization of a sports car suspension system using simplified quarter-car models

Ebrahimi-Nejad

Kheybari

Borujerd

2020

Mechanics & Industry

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In this paper, first, the vibrational governing equations for the suspension system of a selected sports car were derived using Lagrange's Equations. Then, numerical solutions of the equations were obtained to find the characteristic roots of the oscillating system, and the natural frequencies, mode shapes, and mass and stiffness matrices were obtained and verified. Next, the responses to unit step and unit impulse inputs were obtained. The paper compares the effects of various values of the damping coefficient and spring stiffness in order to identify which combination causes better suspension system performance. In this regard, we obtained and compared the time histories and the overshoot values of vehicle unsprung and sprung mass velocities, unsprung mass displacement, and suspension travel for various values of suspension stiffness (KS ) and damping (CS ) in a quarter-car model. Results indicate that the impulse imparted to the wheel is not affected by the values of CS and KS . Increasing KS will increase the maximum values of unsprung and sprung mass velocities and displacements, and increasing the value of CS slightly reduces the maximum values. By increasing both KS and CS we will have a smaller maximum suspension travel value. Although lower values of CS provide better ride quality, very low values are not effective. On the other hand, high values of CS and KS result in a stiffer suspension and the suspension will provide better handling and agility; the suspension should be designed with the best combination of design variables and operation parameters to provide optimum vibration performance. Finally, multi-objective optimization has been performed with the approach of choosing the best value for CS and KS and decreasing the maximum accelerations and displacements of unsprung and sprung masses, according to the TOPSIS method. Based on optimization results, the optimum range of KS is between 130 000–170 000, and the most favorable is 150, and 500 is the optimal mode for CS .

show abstract

An adaptive compensator for a vehicle suspension system

Cited by 4 publications

References 13 publications

Robust Vehicle Suspension System by Converting Active & Passive Control of a Vehicle to Semi-Active Control System Analytically

Robust Vehicle Suspension System by Converting Active & Passive Control of a Vehicle to Semi-Active Control System Analytically

Constraint optimization of nonlinear McPherson suspension system using genetic algorithm and ADAMS software

Multi-objective optimization of a sports car suspension system using simplified quarter-car models

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