A Variable Stiffness and Damping Control Strategy for Improving Vibration Isolation Performances in Low-Frequency Excitation

Xing, Xudong; Chen, Zhaobo; Feng, Zhongqiang

doi:10.1007/s42417-022-00659-w

Cited by 4 publications

(4 citation statements)

References 36 publications

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“…The radar detection point is taken as a known point, and the camera detection point is taken as a measurement point. Let () be the residual difference between the radar detection point and the camera detection point at the time of , which can be expressed by equation (15) as follows…”

Section: Sensor Information Fusion Strategymentioning

confidence: 99%

“…∞In [14], a fuzzy guaranteed cost∞control (FGCHC) is proposed to ensure the asymptotic stability of the controlled closed-loop vehicle active suspension system. In literature [15], an acceleration-driven-stiffness fuzzy control strategy (ADSFC) and a Skyhook-based control strategy are designed to control the internal pressure of the air spring and the current of the magnetorheological damper, so as to achieve the adjustment of stiffness and damping. The aforementioned suspension control methods have improved the smoothness of vehicles to a certain extent, but they have rarely dealt with the control of suspension smoothness and safety of unmanned vehicles in the presence of random small obstacles or broken road surfaces.…”

Section: Introductionmentioning

confidence: 99%

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An automatic control method for semi-active suspension of driverless vehicle based on multi-sensor information fusion in complex environment

ZHOU,

JING,

LYU

2024

Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023)

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A semi-active suspension control method based on multi-sensor information fusion was proposed to improve the safety and smoothness of driverless A quarter suspension vibration model considering multi-sensor information fusion was established, revealing the relationship between road roughness information and vehicle vibration. A quarter suspension vibration model considering multi-sensor information fusion was established, revealing the relationship between road roughness information and vehicle vibration. The camera and radar wave were used to scan and identify the uneven road conditions, and a mathematical model of road roughness was created. The information fusion and matching of uneven road surface were carried out by The information fusion and matching of uneven road surface were carried out by detecting the edge intersection ratio and Graph Neural Network(GNN) algorithm, obtaining a more reliable mathematical model of uneven road surface in complex environment. It is proposed to calculate the optimal damping ratio of semi-active suspension using the information of vehicle speed and road roughness, and to adjust the suspension to the optimal damping ratio of semi-active suspension. It is proposed to calculate the optimal damping ratio of semi-active suspension using the information of vehicle speed and road roughness, and to adjust the suspension to this damping ratio to adapt to different road conditions in real time. The vehicle ride comfort test under typical road input conditions was carried out. The vehicle ride comfort test under typical road input conditions was carried out, and the vibration acceleration time domain response signals of different suspensions were compared and analysed. The results show that the maximum peak vibration acceleration of the unmanned suspension controlled by multiple information fusion is reduced by 43 % comparing with that of the unmanned suspension. reduced by 43 % comparing with that in the passive suspension under the same conditions, which verifies the superiority of the proposed method.

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Section: Sensor Information Fusion Strategymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An automatic control method for semi-active suspension of driverless vehicle based on multi-sensor information fusion in complex environment

ZHOU,

JING,

LYU

2024

Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023)

View full text Add to dashboard Cite

show abstract

“…To get full use of MR dampers, it is necessary to accurately model and control the damping force [18,19], which is to say, a precise model and inverse model for MR dampers are required. However, the inherent strong nonlinear hysteresis characteristic of MR dampers makes the modeling difficult [20].…”

Section: Introductionmentioning

confidence: 99%

An invertible hysteresis model for magnetorheological damper with improved adaption capability in frequency and amplitude

Xing,

Chen,

et al. 2024

Smart Mater. Struct.

Self Cite

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It is found during the tests that the damping characteristics of the magnetorheological (MR) damper vary with the excitation amplitude and frequency. However, the existing MR damper models are not able to accommodate the change of excitation amplitude and frequency, which will lead to significant modeling errors. To deal with this problem, this paper analyzes the experimental data and obtains the regularity of the damping characteristics varying with the excitation. Subsequently, an excitation-adaptive MR damper model is constructed based on the hyperbolic tangent function. The proposed model is not only able to adapt to the change of excitation amplitude and frequency but also able to inverse, which is essential for MR damper controller construction. The fitting results show that compared with the existing models, the three normalized errors of the proposed model are improved from 22.61%, 13.96%, and 19.42% to 6.30%, 3.81%, and 6.97%, respectively, indicating that the model excitation adaptivity is significantly improved. Furthermore, this study also proposed a damper controller based on the new model, and the simulation results verify the effectiveness of the controller. The proposed model brings the acceleration signal into the model to improve the model adaptivity, which introduces a novel approach to enhance the adaptivity of MR damper models.

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“…In previous studies on MR dampers, the structure of MR damper is optimized with the goal of increasing the coulomb force, while the influence of structure parameters on the viscous force is ignored. However, according to the vibration isolation theory, it is essential for the damper to minimize the damping force to reduce transmissibility when the excitation frequency is above the crossover frequency [21,22]. Therefore, in order to improve the vibration isolation performance of MR dampers, it is necessary to reduce the viscous force at the current-off state.…”

Section: Introductionmentioning

confidence: 99%

A dual paths magnetorheological damper with small field-off force and large dynamic range

Xing¹,

Chen²,

Feng³

et al. 2023

Smart Mater. Struct.

Self Cite

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Magnetorheological (MR) dampers are widely used for vibration isolation and the dynamic range is a key index to evaluate its performance. According to the vibration isolation theory, it is essential for the damper to maximize the damping force in resonance region and minimize the damping force in high-frequency excitation. However, for single-path MR dampers, achieving the goals of low field-off force and large dynamic range has conflicting requirements on the structural parameters. In this research, a dual paths MR damper has been proposed to overcome this problem. The proposed MR damper has two coaxial paths and the magnetic field strength in each path can be controlled separately. According to the flow state of the MR fluid, the working modes of the dual paths MR damper are divided into three kinds and the corresponding mathematical models are driven. Based on the mathematical models, the effect of structural parameters on the dynamic range, maximum and minimum damping force is investigated. It is concluded that increasing the piston rod radius and piston length is an effective method to expand the dynamic range while maintain a small field-off damping force. The experimental results show that the proposed MR damper working mode can be controlled by the applied currents, the minimum force is obtained in the dual path flow state while the maximum force is obtained in the inner path flow state. In particular, the dynamic range of the proposed MR damper is significantly improved to 93.3 and the filed-off damping force remains small compared to the previously reported MR damper.

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A Variable Stiffness and Damping Control Strategy for Improving Vibration Isolation Performances in Low-Frequency Excitation

Cited by 4 publications

References 36 publications

An automatic control method for semi-active suspension of driverless vehicle based on multi-sensor information fusion in complex environment

An automatic control method for semi-active suspension of driverless vehicle based on multi-sensor information fusion in complex environment

An invertible hysteresis model for magnetorheological damper with improved adaption capability in frequency and amplitude

A dual paths magnetorheological damper with small field-off force and large dynamic range

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