Abstract
Magnetorheological (MR) dampers are the most promising devices for vibration control applications because it has many advantages such as mechanical simplicity, high dynamic range, low power requirements, large force capacity and robustness. In this paper, a new approach for studying the forward and inverse dynamical behavior of an MR damper using Non-Linear Autoregressive Models with Exogenous Inputs (NLARX) is presented. NLARX is a built-in function related to the identification toolbox, MATLAB/Simulink software, used to identify the nonlinear behavior of dynamic and engineering systems. The training and validation of the proposed model are done theoretically using the data generated from the modified Bouc–Wen model. Validation data sets representing a wide range of working conditions of the damper show that the use of the NLARX model to predict the forward and inverse dynamical behavior of MR dampers is reasonably accurate.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Carlson JD, Weiss KD (1994) A growing attraction to magnetic fluids. Mach Des 66:61–66
SpencerJr BF, Dyke SJ, Sain MK, Carlson JD (1997) Phenomenological model for magnetorheological dampers. J Eng Mech: Am Soc Civil Eng 123(3):230–238
Wereley NM, Pang L, Kamath G (1998) Idealized hysteresis modeling of electrorheological and magnetorheological dampers. J Intell Mater Syst Struct 9(8):642–649
Li WH, Yao GZ, Chen G, Yeo SH, Yap FF (2000) Testing and steady state modeling of a linear MR damper under sinusoidal loading. J Smart Mater Struct 9:95–102
Lai CY, Liao WH (2002) Vibration control of a suspension system via a magnetorheological fluid damper. J Vib Control 8(4):527–547
Dominguez A, Sedaghati R, Stiharu I (2006) A new dynamic hysteresis model for magnetorheological dampers. J Smart Mater Struct 15:1179–1189
Metered H, Bonello P, Oyadiji S (2009) Nonparametric identification modeling of magnetorheological damper using Chebyshev polynomials fits. SAE Paper no. 2009-01-1222
Schurter KC, Roschke PN (2000) Fuzzy modeling of a magnetorheological damper using ANFIS. In: Proceedings of the IEEE international conference on fuzzy systems, pp 122–127
Batterbee D, Sims ND (2009) Temperature sensitive controller performance of MR dampers. J Intell Mater Syst Struct 20:297–309
Wang DH, Liao WH (2005) Semiactive controllers of magnetorheological fluid dampers. J Intell Mater Syst Struct 16:983–993
Lam AH, Liao HW (2003) Semiactive control of automotive suspension systems with magnetorheological dampers. Int J Veh Des 33:50–75
Sims ND, Stanway R, Peel DJ, Bullough WA (1999) Controllable viscous damping: an experimental study of an electrorheological long-stroke damper under proportional feedback control. J Smart Mater Struct 8:601–615
Liao WH, Wang DH (2005) Modeling and control of magnetorheological fluid dampers using neural networks. J Smart Mater Struct 14:111–126
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Shehata, A., Metered, H., Oraby, W. (2015). Identification of Hysteretic Behavior of Magnetorheological Dampers Using NLARX Model. In: Sinha, J. (eds) Vibration Engineering and Technology of Machinery. Mechanisms and Machine Science, vol 23. Springer, Cham. https://doi.org/10.1007/978-3-319-09918-7_65
Download citation
DOI: https://doi.org/10.1007/978-3-319-09918-7_65
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09917-0
Online ISBN: 978-3-319-09918-7
eBook Packages: EngineeringEngineering (R0)