Bi-exponential model and inverse model of magnetorheological damper for the semi-active suspension of a capsule vehicle

Yoon, Ranhee; Negash, Birhan Abebaw; You, Won-Hee; Lee, Jinho; Lee, Changyoung; Lee, Kwan-Sup

doi:10.1177/00202940221101675

Cited by 3 publications

(1 citation statement)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, it is necessary to determine the control requirements of the forward inverse models, so as to take into account the complexity of the forward model and the accuracy of the inverse model [23]. Yoon et al [24] proposed the biexponential model and its inverse model, which can be easily and simply applied to the semi-active control. It indicated that the bi-exponential model reduces about 10% more than the Bouc-Wen model by the hardware in the loop simulation test.…”

Section: Introductionmentioning

confidence: 99%

A forward-inverse dynamic model for the hydraulic damping(magnetorheological) actuator based on cyclic stress–strain

Ma,

Huang,

Huang

et al. 2024

Smart Mater. Struct.

View full text Add to dashboard Cite

Magnetorheological dampers (MRDs) are applied to hydraulic systems, which not only improve the underdamped characteristics of valve-controlled cylinder systems, but also help hydraulic actuators to resist high load impact. However, the high power density leads to the complexity of the internal flow channel of the damper, which seriously affects the output accuracy of the damping force. It can lead to the fact that existing dynamics models cannot accurately describe the hysteresis characteristics of the MRD. Therefore, this study proposes a simple and general dynamic model of MRD, which solves the problem that existing models are complex and difficult to invert. Firstly, the hydraulic damping actuator (HDA) with the series MRD is taken as the research object. Based on the stress-strain hysteresis characteristics under the cyclic constitutive model, the hyperbolic tangent curve is reorganized and normalized. It can accurately describe the yield formation and yield dissipation stages of the hysteresis loop. Secondly, the relationship between the parameters of the dynamic model and the current is obtained according to the mechanical experimental data. Then the inverse model of the MRD is established by using the method of section-backstepping. Finally, in the static experiment, the Mean Absolute Percentage Error(MAPE) of the force at different velocity is less than 7.5%; In the dynamic experimental test, the MAPE of the force is 9.7%. The inverse dynamics model is verified to have high tracking performance under both static and dynamic forces. And it also indirectly confirms the effectiveness of the forward model.

show abstract

Section: Introductionmentioning

confidence: 99%

A forward-inverse dynamic model for the hydraulic damping(magnetorheological) actuator based on cyclic stress–strain

Ma,

Huang,

Huang

et al. 2024

Smart Mater. Struct.

View full text Add to dashboard Cite

show abstract

A simulation study on visual preview control of vehicle magnetorheological suspension

Xie,

Wang,

Zhou

et al. 2024

Smart Mater. Struct.

View full text Add to dashboard Cite

At present, the boom in intelligent vehicles, especially automotives, has brought magnetorheological (MR hereinafter) suspensions into further focus. Generally, traditional MR suspensions work with acceleration sensors to respond with a non-negligible time delay issue due to the inductive property of MR damper (MRD hereinafter), which hinders their full performance especially at high-speed driving with a powerless “blind zone”. To address this issue, this study proposes a simulation study on visual preview control for vehicle MR suspension based on MPC (Model Predictive Control), since the road preview is able to compensate the time delay due to the future road information perceived in advance. First, a camera with a computer vision algorithm is employed to preview road information of target type, target size and distance to wheels. Besides, the error correction of radial and tangential distortions of camera lens are investigated, and the trajectory of wheels are predicted by a cycloid model because MR suspension only needs to respond to the road targets that the wheels will pass over. Further, the area in front of the vehicle is divided into a recognition zone and action zone, and the road targets within action zone (<1.5 m) are calculated more precisely for a prepared immediate response from the MR suspension. Then, the performance of a simulating vehicle MR suspension is investigated through a joint simulation by the automotive simulation software CarSim and the model-solving Simulink. The evident results show that the MR suspension with visual preview control performs the best in ride comfort (mean square values of sprung mass acceleration is 82% and 52% lower compared to a passive suspension and a MR suspension with skyhook control, respectively). Therefore, the visual preview control strategy of MR suspension is able to enhance the performance on the discrete road conditions.

show abstract

Novel approaches in developing sustainable and cost-effective semi-active suspension systems for smart vehicles—A review

Subramanian,

Balamurugan,

Ashwin Prabhu

2024

Proceedings of the Institution of Mechanical Engineers, Part E:

View full text Add to dashboard Cite

The dynamic evolution of automotive technology necessitates integrating intelligent systems in suspension systems to enhance vehicle dynamic performance and environmental sustainability. The major challenge in the vehicle suspension design is to achieve an optimum tradeoff between riding comfort and ground holding with the available rattle space. Semi-active suspension systems (SASSs), which meet these requirements more effectively than passive and active systems, have gained prominence for their potential. Different SA control strategies and dampers have been developed to enhance dynamic performance. The optimal control strategies and design parameters improve the responsiveness of SASSs in the vehicle dynamic performance. The algorithms attempt to avail the full potential of various dampers controlled electronically. The accurate representation of nonlinearities in mathematical modeling with noise mitigation enhances the practical implementation of novel controllers in SASSs. This review investigates the forefront of research and development in SASSs, focusing on innovative strategies to make these systems more sustainable, adaptive, and cost-effective for smart vehicles. Semi-active magnetorheological dampers have more commercial applications than other dampers, but the high cost makes them unaffordable for economical cars. Several researchers have attempted to develop inexpensive, high-performance dampers that can vary damping coefficients precisely for different road conditions. Real-time energy harvesting-based dampers for sustainable electric mobility are under development. Commercially available SASSs are less expensive than active suspensions but they have limited applications than passive suspensions. The low market share of existing SASSs and their regenerative inability are the major drawbacks in making it a sustainable suspension system. The novel strategies attempted to develop an effective smart suspension system and its limitations are discussed in this review. The next generation of SASSs that aligns with the global drive towards smarter, greener, and economical vehicles is identified.

show abstract

Bi-exponential model and inverse model of magnetorheological damper for the semi-active suspension of a capsule vehicle

Cited by 3 publications

References 38 publications

A forward-inverse dynamic model for the hydraulic damping(magnetorheological) actuator based on cyclic stress–strain

A forward-inverse dynamic model for the hydraulic damping(magnetorheological) actuator based on cyclic stress–strain

A simulation study on visual preview control of vehicle magnetorheological suspension

Novel approaches in developing sustainable and cost-effective semi-active suspension systems for smart vehicles—A review

Contact Info

Product

Resources

About