A universal suspension test rig for electrohydraulic active and passive automotive suspension system

Omar, A.-Mohsen M.E.; El-Kassaby, M.M.; Abdelghaffar, W.A.

doi:10.1016/j.aej.2017.01.024

Cited by 33 publications

(21 citation statements)

References 12 publications

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“…Owing to the characteristic of the sinusoidal function, the velocity became maximum when the displacement became zero. The maximum velocity is given by Equation (7). For example, when the amplitude was 35 mm, in order to generate the maximum velocity 25 mm/s at the point where the displacement is zero, according to Equation 7, 25 mm/s = 2π f × 35 mm, thus the frequency had to be 0.114 Hz.…”

Section: Test For Force-velocity Curvementioning

confidence: 99%

“…Various methods have been used to test the characteristics of suspensions. Omar et al [7] developed a device that can simultaneously test the performance of active and passive suspensions for automobiles. A suspension was installed on a vertically fixed guide, and sprung mass was added to the upper portion and a motor was installed on the lower portion.…”

Section: Introductionmentioning

confidence: 99%

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Experimental Study on the Dynamic Characteristics of Hydro-Pneumatic Semi-Active Suspensions for Agricultural Tractor Cabins

Choi

Kim

et al. 2020

Applied Sciences

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This study aims to establish a test method to obtain the dynamic characteristics of hydraulic-pneumatic semi-active suspensions used in tractor cabins. Because dynamic characteristics are utilized in simulation models for developing suspension control logic and must be secured to improve control performance, an accurate test method must be established. The dynamic characteristics of the suspension, i.e., the spring constant and damping coefficient, were obtained by changing the current and velocity conditions. An exciter was used as a test device to control the displacement and velocity of the hydraulic cylinder. In order to derive the spring constant of the suspension, a low-speed reciprocating motion test was performed to obtain the force-displacement diagram and to derive the damping coefficient; 48 tests were performed under 6 velocity conditions and 8 current conditions to obtain a force-velocity diagram for each result. The spring constant of the suspension was confirmed using the slope of the trend line in the force-displacement diagram obtained through the low-speed reciprocating motion test of the suspension. In addition, the damping coefficient was calculated using the force-velocity diagram obtained through the reciprocating motion test of the suspension under various current and velocity conditions.

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Section: Test For Force-velocity Curvementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Experimental Study on the Dynamic Characteristics of Hydro-Pneumatic Semi-Active Suspensions for Agricultural Tractor Cabins

Choi

Kim

et al. 2020

Applied Sciences

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“…In PSO algorithm (Kennedy, 1995), the particle's initial position and velocity are randomly set. The new velocity and new position of every particle can be determined using equations (8) and (9).…”

Section: Multi-objective Particle Swarm Optimisationmentioning

confidence: 99%

Optimisation of Linear Passive Suspension System Using MOPSO and Design of Predictive Tool with Artificial Neural Network

J¹,

Archana²,

Raj³

2019

STUD INFORM CONTROL

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One of the main challenges in the design of passive suspension systems is the optimum selection of suspension system parameters. In this paper, a-four-degree-of-freedom quarter car model is implemented in order to design an optimal suspension system for better ride comfort and road holding characteristics. The mathematical model was generated in MATLAB Simulink environment for simulation. The Multi-objective particle swarm optimisation algorithm is used to optimise the suspension parameters such as suspension spring stiffness, damping coefficient of dampers, driver seat stiffness and driver seat damping coefficient. In addition, an artificial neural network model is trained to predict the root mean square values of ride comfort and road holding characteristics for a given set of input parameters by using the neural network toolbox in MATLAB. The results show that the acceleration of sprung mass and head decayed to a minimum under 2 seconds and the magnitude of the acceleration of the head was lower than that of the sprung mass. The unsprung mass was not displaced from the ground for more than 0.014m and road holding characteristics were also similar.

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“…The three available classifications of suspension systems are passive, semi-active and active suspension. 13,14 Vehicle suspension system is the key of wheel drive electric vehicle, and suspension performance is an important factor affecting vehicle ride comfort and stability. [15][16][17][18] In recent years, the control methods of vehicle active suspension have developed rapidly, which include modern, intelligent and composite control method.…”

Section: Introductionmentioning

confidence: 99%

Vibration control of improved LQG for wheel drive electric vehicle based on uncertain parameters

Liu

Wang

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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To improve the ride comfort of wheel drive electric vehicle, a quarter dynamic model is established for vehicle active and passive suspension. Based on the response root mean square (RMS), the evaluation index of vehicle ride comfort is derived. According to the influence of uncertain parameters on system minimum RMS, the optimal vehicle parameters are determined. To avoid experience value of uncertain weight coefficient affecting the LQG control, analytic hierarchy process (AHP) is adopted to determine the weighting coefficient of vehicle performance evaluation index. And the LQG controller of vehicle active suspension is designed based on optimal control theory. Compared with the analysis results of passive suspension, the effectiveness of active control scheme is verified.

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A universal suspension test rig for electrohydraulic active and passive automotive suspension system

Cited by 33 publications

References 12 publications

Experimental Study on the Dynamic Characteristics of Hydro-Pneumatic Semi-Active Suspensions for Agricultural Tractor Cabins

Experimental Study on the Dynamic Characteristics of Hydro-Pneumatic Semi-Active Suspensions for Agricultural Tractor Cabins

Optimisation of Linear Passive Suspension System Using MOPSO and Design of Predictive Tool with Artificial Neural Network

Vibration control of improved LQG for wheel drive electric vehicle based on uncertain parameters

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