Identification of an electro-hydraulic controllable shock absorber using black-block non-linear models

Codecà, Fabio; Savaresi, Sergio M.; Spelta, Cristiano; Montiglio, Mauro; Ieluzzi, Michele

doi:10.1109/cca.2008.4629603

Cited by 7 publications

(5 citation statements)

References 14 publications

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“…Some models have been developed with parameters that have no physical meaning, such as 1) p, Duym (1997), 2) MR, Choi et al (2001) and Savaresi et al (2005b), and 3) EH, Codeca et al (2008). The models that have parameters with physical meaning, such as the phenomenological models, are also classified as 1) p, Duym (2000) and Carrera- Akutain et al (2006), 2) MR, Wang and Kamath (2006) and Choi et al (2001), and 3) EH, Heo et al (2003).…”

Section: Introductionmentioning

confidence: 99%

A General Modeling Approach for Shock Absorbers: 2 DoF MR Damper Case Study

et al. 2021

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A methodology is proposed for designing a mathematical model for shock absorbers; the proposal is guided by characteristic diagrams of the shock absorbers. These characteristic diagrams (Force-Displacement, Velocity-Acceleration) are easily constructed from experimental data generated by standard tests. By analyzing the diagrams at different frequencies of interest, they can be classified into one of seven patterns, to guide the design of a model. Finally, the identification of the mathematical model can be obtained using conventional algorithms. This methodology has generated highly non-linear models for 2 degrees of freedom magneto-rheological dampers with high precision (2–10% errors).

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Section: Introductionmentioning

confidence: 99%

A General Modeling Approach for Shock Absorbers: 2 DoF MR Damper Case Study

et al. 2021

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“…Although they are less tunable than full parametric models, they are appropriate for most vehicle dynamics simulations. However, the nonparametric models [16][17][18] are generally identified based on test data. They are inherently non-tunable and are not suitable for parameter designs, but they are very efficient in vehicle dynamics simulations.…”

Section: Introductionmentioning

confidence: 99%

“…Full parametric models have been established and incorporated into hydraulic damper design [4] as well as vehicle simulation [9]. A non-parametric [18] model has also been used to document the performance of a railway electro-hydraulic damper. However, with the ever increasing train speeds, the vehicle system becomes very sensitive to component parameter variations.…”

Section: Introductionmentioning

confidence: 99%

Non-linear parametric modelling of a high-speed rail hydraulic yaw damper with series clearance and stiffness

Wang

Yang

et al. 2010

Nonlinear Dyn

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At high operational speeds, the train system becomes very sensitive to parameter variations of components. Therefore, it is imperative to incorporate more accurate component models in the vehicle dynamics studies. This study addresses a more subtle and comprehensive non-linear parametric model of a highspeed rail hydraulic yaw damper. A new concept of a hydraulic yaw damper model is suggested, in which the small mounting clearance, the series stiffness, and the viscous damping are built in. The series stiffness is the tandem result of the dynamic oil stiffness, the rubber attachment stiffness, and the mounting seat stiffness. A dynamic oil property model is established and coupled to the entire modelling process, in which the density, the dynamic viscosity, the volumetric elastic modulus, and the stiffness of the oil are all changeable in terms of the instantaneous working pressure, the oil temperature, and the entrapped air ratio of the oil. The dynamic flow loss and the valve system dynamics are also incorporated. Experiments validated that the established non-linear parametric model is accurate and robust in predicting the damping characteristics within an extremely wide speed range. The validated damper model was then successfully applied to a thorough parameter sensitivity analysis and damping nature prediction under practical, in-service conditions. The established damper model couples all the main influential factors that are not or are insufficiently considered in normal-speed problems; thus, it will be more accurate and appropriate for furthering high-speed problem studies.Keywords Non-linear parametric modelling · Hydraulic yaw damper · Series clearance and stiffness · Parameter sensitivity analysis · High-speed train Nomenclature A e (m 2 ) equivalent action area on the valve seat B (N s/m) viscous damping coefficient of the piston-and-rod assemblydeviation rate of the relief valve F (N) damping force at a typical stroke speed F (t), F r (t) (N) nominal and initial instantaneous damping force H, H p (m) height of the inner tube and the piston K (N/m) spring stiffness of the relief valve 14 W.L. Wang et al.K e (N/m) series stiffness of the damper K leak (m 3 Pa −1 s −1 ) pressure leakage coefficient K oil (N/m) dynamic oil stiffness K q (Pa −1 s −1 ) flow coefficient of the relief valve K rubber (N/m) rubber attachment stiffness K seat (N/m) mounting seat stiffness L (m) piston seal width L gap (m) accumulated clearance at the ends of the damper L t (m) piston sweep distance P , P 0 (Pa) instantaneous and the reference working pressure P b (Pa) instantaneous back pressure P b0 (Pa) back pressure when piston is in the neutral position P t (Pa) set pressure of the relief valve Q (m 3 /s) instantaneous flow Q leak (m 3 /s) pressure leakage flow Q loss (m 3 /s) total flow loss Q valve (m 3 /s) flow forced through the complete valve system T , T 0 (°C ) instantaneous and the reference oil temperature V gas,0 (m 3 ) enclosed air volume when piston is in the neutral position V oil (m 3 ) instantaneous oil volu...

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“…These models are semi-physical and partially tunable, and are frequently used in vehicle system dynamics simulations requiring high efficiency and are accurate to a point. The third category comprises non-parametric models (or black-box models), 16,17 which are built using test data from hydraulic dampers and usually obtained under unique test conditions. These damper models are intrinsically non-tunable, however, due to their very high efficiency they are often used in vehicle system dynamics simulations.…”

Section: Introductionmentioning

confidence: 99%

Prediction of the in-service performance of a railway hydraulic damper

Wang

2016

Proceedings of the Institution of Mechanical Engineers, Part F:

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In this study, an improved physical parametric model with key in-service parameters was established and experimentally validated for a high-speed railway hydraulic damper. A subtle variable oil property model was built and coupled into the full model to address the dynamic flow losses and the relief-valve system dynamics. Experiments were conducted to evaluate the accuracy and robustness of the full damper model and simulation, which determined the damping characteristics over an extremely wide range of excitation speeds. Further simulations with in-service conditions and excitations were performed using the validated model, and the results revealed that improper key in-service parameters, such as improper rubber attachment stiffness, entrained air ratios and small mounting clearances, can greatly degrade the damping capability of a hydraulic damper. The obtained physical model includes all the influential factors that have an impact on the damping characteristics, so it will serve as a useful basic theory in the prediction of in-service performance, optimal specification and product design optimization of hydraulic dampers for modern high-speed rail vehicles.

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Identification of an electro-hydraulic controllable shock absorber using black-block non-linear models

Cited by 7 publications

References 14 publications

A General Modeling Approach for Shock Absorbers: 2 DoF MR Damper Case Study

A General Modeling Approach for Shock Absorbers: 2 DoF MR Damper Case Study

Non-linear parametric modelling of a high-speed rail hydraulic yaw damper with series clearance and stiffness

Prediction of the in-service performance of a railway hydraulic damper

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