A new constitutive model of a magneto-rheological fluid actuator using an extreme learning machine method

• Main Authors: Bahiuddin, Irfan, A. Mazlan, Saiful, Shapiai, Mohd. I., Seung, Bok Choi, Imaduddin, Fitrian, A. Rahman, Mohd. A., M. Ariff, Mohd. H.
• Format: Article
• Published: Elsevier B.V. 2018
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/86104/; http://dx.doi.org/10.1016/j.sna.2018.09.010

In this work, a new constitutive model of a magneto-rheological fluid (MRF) actuator is proposed using an extreme learning machine (ELM) technique to enhance the prediction accuracy of the field-dependent actuating force. After briefly reviewing existing rheological constitutive models of MRF actuat...