Modelling and validation of magneto-rheological fluid damper behaviour under impact loading using interpolated multiple adaptive neuro-fuzzy inference system
Multidiscipline Modeling in Materials and Structures
ISSN: 1573-6105
Article publication date: 11 June 2020
Abstract
Purpose
The objective of this paper is to develop a fast modelling technique for predicting magneto-rheological fluid damper behaviour under impact loading applications.
Design/methodology/approach
The adaptive neuro-fuzzy inference system (ANFIS) technique was adopted to predict the behaviour of a magneto-rheological fluid (MRF) damper through experimental characterisation data. In this study, an MRF damper manufactured by Lord Corporation was used for characterisation using an impact pendulum test rig. The experimental characterisation was carried out with various impact energies and constant input currents applied to the MRF damper.
Findings
This research provided a fast modelling technique with relatively less error in predicting MRF damper behaviour for the development of control strategies. Accordingly, the ANFIS model was able to predict MRF damper behaviour under impact loading and showed better performance than the modified Bouc–Wen model.
Research limitations/implications
This study only focused on modelling technique for a single type of MRF damper used for impact loading applications. It is possible for other applications, such as cyclic loading, random loadings and system identification, to be studied in future experiments.
Original/Value
Future researchers could apply the ANFIS model as an actuator model for the development of control strategies and analyse the control performance. The model also can be replicated in other industries with minor modifications to suit different needs.
Keywords
Acknowledgements
This work is supported by National Defence University of Malaysia (Centre of Research and Innovation Management) and Ministry of Higher Education of Malaysia through a My PhD scholarship and financial support under Short-term Research Grant Scheme (S.R.G.S.) with project number UPNM/2019/GPJP/TK/3 “Recoil Force Reduction Control for Gun System using Modified Magneto-Rheological (MR) Damper,” led by Associate Professor Dr Khisbullah Hudha. This financial support is gratefully acknowledged.
Citation
Rahmat, M.S., Hudha, K., Abd Kadir, Z., Amer, N.H., Abd Rahman, M.L.H. and Abdullah, S. (2020), "Modelling and validation of magneto-rheological fluid damper behaviour under impact loading using interpolated multiple adaptive neuro-fuzzy inference system", Multidiscipline Modeling in Materials and Structures, Vol. 16 No. 6, pp. 1395-1415. https://doi.org/10.1108/MMMS-10-2019-0187
Publisher
:Emerald Publishing Limited
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