Empirical modeling of nonlinear and hysteresis characteristics of the shock absorber

被引：0

作者：

Cui, Yan ^{[1
]}

Sun, Fengchun ^{[1
]}

机构：

[1] School of Mechanical Engineering, Beijing Institute of Technology

来源：

High Technology Letters | 2013年 / 19卷 / 03期

关键词：

Hysteresis; Nonlinearity; Shock absorber; Vehicle dynamics;

D O I：

10.3772/j.issn.1006-6748.2013.03.008

中图分类号：

学科分类号：

摘要：

An empirical hybrid shock absorber model capable of capturing nonlinear and hysteresis characteristics of shock absorbers is built. The nonlinear characteristics are modeled by algebraic function and the hysteresis effects between shock force and shock velocity are modeled by neural network. To develop the empirical hybrid shock absorber model, a Mazda CX-7 front shock absorber is tested by a displacement-controlled hydraulic shock absorber testing machine. The hybrid shock absorber model is built and validated using the experimental shock absorber data. The RMS value for the hybrid shock absorber model is 60.28N at the velocity range from -1.3 m/s to 1.3 m/s. Copyright © by HIGH TECHNOLOGY LETTERS PRESS.

引用

页码：267 / 272

页数：5

共 8 条

[1]

Lion A., Loose S., Thermomechanically coupled model for automotive shock absorbers: Theory, experiments and vehicle simulation on test tracks, Vehicle System Dynamics, 37, 4, pp. 241-261, (2002)

[2]

Ziemer R.E., Tranter W.H., Franklin D.R., Signals and Systems, Continuous and Discrete, (1983)

[3]

Besinger F.H., Cebon D., Cole D.J., Damper models for heavy vehicle ride dynamics, Vehicle System Dynamics, 24, 1, pp. 35-64, (1995)

[4]

Kowalsi D., The effects of different input excitation on the dynamic characterization of an automotive shock absorber

[5]

Pracny V., Meywerk M., Lion A., Hybrid neural network model for history-dependent automotive shock absorbers, Vehicle System Dynamics, 45, 1, pp. 1-14, (2007)

[6]

Boggs C., Mehdi A., Efficient empirical modeling of a high-performance shock absorber for vehicle dynamics studies

[7]

Pracny V., Meywerk M., Lion A., Full vehicle simulation using thermo-mechanically coupled hybrid neural network shock absorber model, Vehicle System Dynamics, 46, 3, pp. 229-238, (2008)

[8]

Calvo A., Boada B., Roman J., Et al., Influence of a shock absorber model on vehicle dynamic simulation, Journal of Automobile Engineering, 223, pp. 189-202, (2009)

← 1 →