A Noise-Insensitive Semi-Active Air Suspension for Heavy-Duty Vehicles with an Integrated Fuzzy-Wheelbase Preview Control

Xie, Zhengchao; Wong, Pak Kin; Zhao, Jing; Xu, Tao; Wong, Ka In; Wong, Hang Cheong

doi:10.1155/2013/121953

Cited by 31 publications

(42 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where, the air spring stiffness coefficient is determined based on the laws of thermodynamics method [3] and the air spring stiffness coefficient is developed a new method based on the variation of the volume, area, and other structural parameters of the air spring. Therefore, the interior air pressure of the air spring is also changed to calculate the air spring stiffness.…”

Section: Air Suspension System Dynamic Modelmentioning

confidence: 99%

“…A semi-active suspension system with a rolling lobe air spring is firstly modeled and a novel front axle vertical acceleration-based road prediction model is constructed by Zhengchao Xie, etc. [3]. Simulation results show that the ride quality, the road holding, the handling capability, the road friendliness, and the comprehensive performance of the semi-active air suspension with FPW outperform those with the traditional active suspension with PID-wheelbase preview controller (APP).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Comparing the performance of suspension system of semi-trailer truck with two air suspension systems

Le¹

2017

Vib. proced.

View full text Add to dashboard Cite

Abstract. In order to compare the performance of heavy truck suspension system, a 3D dynamic model with 14 degrees of freedom is developed with the dynamic models of the traditional and new air suspension systems to compare the performance of the air suspension systems for reducing the negative impacts on the road surface when vehicle moves on the different road conditions. Dynamic modes of two different types of the air suspension systems are respectively established and a dynamic load coefficient (DLC) is chosen as objective function which uses Matlab/Simulink software to simulate and determine the values of objective function. The results shown that the performance of the new air suspension system is better than the tradition air suspension for reducing the negative impact on road surface under the different operating conditions of vehicle. Especially, the DLC values of wheels at 3rd axle of vehicle with the new air suspension system are respectively reduced by 6.7 %, 7.0 %, 7.4 %, 7.7 % and 8.5 % in comparison with the traditional air suspension system when vehicle moves on the different pavement conditions a velocity of 20 m/s and fully loaded. In addition, the study results not only can provide a reference for designers but also traffic management to reduce the negative impact on road surface.

show abstract

Section: Air Suspension System Dynamic Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparing the performance of suspension system of semi-trailer truck with two air suspension systems

Le¹

2017

Vib. proced.

View full text Add to dashboard Cite

show abstract

“…Nowadays, the combined control methods, such as the neural-PID control, fuzzy-PID control, and integrated fuzzy-wheelbase preview control [13][14][15], were strongly developed for controlling the magnetorheological fluid of the semi-active suspension systems [16][17][18]. In order to enhance the control performance, the optimal control methods, such as neuro-fuzzy control with the fuzzy rules optimized by the genetic algorithm [19], fuzzy-PID control with the control rules optimized by cultural algorithm [20], and fuzzy-skyhook control using the multiobjective microgenetic algorithm [21], were also successfully applied.…”

Section: Introductionmentioning

confidence: 99%

Low‐Frequency Performance Analysis of Semi‐Active Cab’s Hydraulic Mounts of an Off‐Road Vibratory Roller

Nguyen

Zhang

Xia

2019

Shock and Vibration

134

View full text Add to dashboard Cite

To improve the ride comfort of the off-road vibratory roller, the cab’s hydraulic mounts were analyzed to prevent vibration sources transmitting to the cab. However, the cab’s low-frequency shaking in the vertical direction and the direction of forward motion is still great. This study proposes an optimal fuzzy-PID control method for semi-active cab’s hydraulic mounts based on an off-road vehicle roller dynamic model to analyze the low-frequency performance of semi-active cab’s hydraulic mounts under the different operating conditions. In order to evaluate the ride comfort of the off-road vibratory roller with semi-active cab’s hydraulic mounts, the power spectral density (PSD) and the weighted root mean square (RMS) of acceleration responses of the vertical driver’s seat, cab’s pitch, and roll vibrations in the low-frequency range are chosen as objective functions. Contrastive analysis of low-frequency vibration characteristics of the off-road vibratory roller with passive cab’s hydraulic mounts, semi-active cab’s hydraulic mounts without optimization, and semi-active cab’s hydraulic mounts with optimization is, respectively, carried out. The research results show that the semi-active cab’s hydraulic mounts with optimization have an obvious effect on mitigating the cab shaking and improving the ride comfort in comparison with passive cab’s hydraulic mounts and semi-active cab’s hydraulic mounts without optimization.

show abstract

“…However, the results are inapplicable with respect to the control of nonlinear car-suspensions. The key for predictive control of nonlinear cars lies in the collection of road information using the front tires, which enables predictive control of the rear tires [23][24][25][26][27][28]. In this case, there is no predictive control of the front suspension, so the control effect of the entire car is affected.…”

Section: Introductionmentioning

confidence: 99%

Adaptive control of a nonlinear suspension with time-delay compensation

Yao¹,

Zhang²,

Zhao³

et al. 2019

J. vibroeng.

View full text Add to dashboard Cite

This paper addresses the challenge of predictive control of a quarter-car nonlinear suspension and low controller-precision. This is done by designing and implementing an adaptive controller with time-delay compensation. First, a real-time control model is created. Then, time-delay compensation is realized and both frequency-domain and time-domain simulation of the controller performance are conducted. According to the simulation results, the sprung-mass acceleration of the suspension controlled by an adaptive controller with time-delay compensation is superior to that without time-delay compensation. Both the period to settle down and the peak of vibration acceleration are smaller. This means the proposed controller is capable of dealing with problems including variable time delay, nonlinear vibration and predictive control.

show abstract

A Noise-Insensitive Semi-Active Air Suspension for Heavy-Duty Vehicles with an Integrated Fuzzy-Wheelbase Preview Control

Cited by 31 publications

References 39 publications

Comparing the performance of suspension system of semi-trailer truck with two air suspension systems

Comparing the performance of suspension system of semi-trailer truck with two air suspension systems

Low‐Frequency Performance Analysis of Semi‐Active Cab’s Hydraulic Mounts of an Off‐Road Vibratory Roller

Adaptive control of a nonlinear suspension with time-delay compensation

Contact Info

Product

Resources

About