Ride comfort investigation of semi-active seat suspension integrated with quarter car model

Chen, Xiaoliang; Song, Hao; Zhao, Sixia; Xu, Liyou

doi:10.1051/meca/2022020

Cited by 8 publications

(9 citation statements)

References 32 publications

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“…On the contrary, FOPID controller exhibits a broader range of capabilities compared to traditional PID controllers, as they are not confined to first-order derivatives and integrals. 21 Instead, FOPID controllers can operate with fractional orders. The adjustable integral order (denoted as λ) and derivative order (denoted as µ) offer more dimensions for parameter tweaking.…”

Section: The Fractional Order Pid Controllermentioning

confidence: 99%

Design and performance evaluation of a novel fractional order PID control strategy for vehicle semi-active suspension

Li,

Xu,

Ruan

et al. 2024

Advances in Mechanical Engineering

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The performance of a semi-active suspension depends on the quality of the control algorithm. Considering the limitations of conventional PID controllers within intricate nonlinear systems, such as imprecise parameter tuning and performance deterioration, we introduced a fractional-order PID (FOPID) control strategy for vehicle semi-active suspension, this approach amalgamates fractional-order theory with conventional PID control to enhance both the controllable scope and precision of the suspension system. Research on semi-active suspension control was conducted using a nonlinear dynamic model of a quarter vehicle. Simulations and analyses were performed utilizing random road excitation and impact road excitation as input signals for both FOPID control, Fuzzy-PID control, and conventional PID control strategies. The analysis findings demonstrated that in the presence of random road excitation, the semi-active suspension system controlled by FOPID reduced vehicle body acceleration by 18.9%, in contrast to a 14.7% reduction by the Fuzzy-PID-controlled suspension, and a 12% reduction achieved by the PID-controlled suspension when compared to the passive suspension. In response to impact road excitation, the suspension system under FOPID control effectively mitigated the peak value of vehicle body acceleration by 29.4%, surpassing the 25.2% reduction achieved by Fuzzy-PID-controlled suspension, and the 24.6% reduction achieved by the PID-controlled suspension. The simulation outcomes substantiated that ride comfort and handling stability of the semi-active suspension system were effectively improved by the implementation of FOPID control.

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Section: The Fractional Order Pid Controllermentioning

confidence: 99%

Design and performance evaluation of a novel fractional order PID control strategy for vehicle semi-active suspension

Li,

Xu,

Ruan

et al. 2024

Advances in Mechanical Engineering

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“…Karnopp et al [19] first proposed sky-hook damping control, and the effectiveness of sky-hook damping control is verified. In the automotive field, scholars have introduced MR dampers into the seat suspension system to further improve the ride comfort of vehicles [20][21][22][23]. However, implementing semi-active control is significantly challenging due to the hysteretic behavior of MR dampers.…”

Section: Introductionmentioning

confidence: 99%

Improvement of Commercial Vehicle Seat Suspension Employing a Mechatronic Inerter Element

Yang,

Bi,

Liu

et al. 2024

WEVJ

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To further improve the ride comfort of commercial vehicles, a seat ISD (Inerter–Spring–Damper) suspension utilizing a mechatronic inerter is proposed in this paper. Firstly, a five-DOF (degree-of-freedom) commercial vehicle seat ISD model was built. Then, the positive real network constraint conditions of a biquadratic impedance transfer function were determined, and the meta-heuristic intelligent optimization algorithm was used to solve the parameters. According to the solution, the impedance transfer function was obtained and the specific network structure was realized by network synthesis. Lastly, this study compares the vibration isolation performance of the mechatronic ISD suspension of the vehicle seat with that of a passive suspension. In comparison to passive seat suspension, the seat mechatronic ISD suspension reduces seat vibration transmissibility by 16.33% and vertical acceleration by 16.78%. Results indicate that the new suspension system can be an effective improvement in ride comfort.

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“…The proposed controller demonstrated improved comfort and roadholding over typical road disturbances. Chen et al [19] proposed an improved firefly algorithm to determine the parameters of a Magneto rheological damper model and combined it with a quarter-car model to create a semi-active three degrees of freedom seat control system. They discovered that the semi-active seat suspension controlled by PID and Fuzzy-PID exhibited efficacy in enhancing ride comfort and operational safety in contrast to a passive seat suspension.…”

Section: Introductionmentioning

confidence: 99%

Active suspension for all-terrain vehicle with intelligent control using artificial neural networks

Hamza,

Dridi,

Bousnina

et al. 2024

J. Mech. Eng. Sci.

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The automotive industry focuses on developing advanced protection and stability control systems, particularly for suspension and steering, to enhance vehicle comfort, luxury, and safety. This research presents an intelligent controller for all-terrain vehicle (ATV) suspension systems based on Artificial Neural Network (ANN) technology. The controller leverages ANN capabilities to optimize system performance. MATLAB simulations were conducted to evaluate its effectiveness under various disturbances. A comparative analysis compared the ANN regulator, classic ANFIS regulator, and passive performance in different disturbance scenarios. The simulation results demonstrate exceptional performance of the ANN-based controller in displacement reduction, speed, acceleration, and robustness. The controller effectively mitigates disturbances, enhancing overall suspension system performance. These findings highlight the advantages of employing ANN technology in ATV suspensions. This research contributes to intelligent control systems advancement in the automotive industry, specifically in ATV suspensions. The demonstrated improvements have the potential to enhance passenger comfort, vehicle stability, and safety across terrains. By implementing ANN-based controllers, automotive manufacturers can optimize suspension systems, leading to improved vehicle performance. Several indicators, including RMSE, MRE, and R2, were utilized to test and validate the models. The R2 values for the three quality parameters ranged from 0.989 to 0.999, indicating a high level of consistency in the predictions made by the ANN, a "5-12-1" structure is employed. The results of this study add to the expanding body of knowledge endorsing the efficacy of ANNs in simulating and optimizing quarter-vehicle dynamics.

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Ride comfort investigation of semi-active seat suspension integrated with quarter car model

Cited by 8 publications

References 32 publications

Design and performance evaluation of a novel fractional order PID control strategy for vehicle semi-active suspension

Design and performance evaluation of a novel fractional order PID control strategy for vehicle semi-active suspension

Improvement of Commercial Vehicle Seat Suspension Employing a Mechatronic Inerter Element

Active suspension for all-terrain vehicle with intelligent control using artificial neural networks

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