Improved parameter estimation for MRF models for varying current

This paper introduces the improved parameter estimation of Magnetorheological fluid (MRF) damper models for varying input current. The models being studied for the estimation are Bingham model, Simple Bouc-Wen model, Modified Bouc-Wen model, Hyperbolic Tangent Function model, and Nonlinear Biviscous...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: M. Razali, M. Khusyaie, Abdul Muthalif, Asan Gani, Nordin, N. H.Diyana, Abdul Hamid, Syamsul Bahrin
التنسيق: مقال
اللغة:English
English
منشور في: American Scientific Publishers 2017
الموضوعات:
الوصول للمادة أونلاين:http://irep.iium.edu.my/62923/1/62923_Improved%20parameter%20estimation%20for%20MRF_article.pdf
http://irep.iium.edu.my/62923/2/62923_Improved%20parameter%20estimation%20for%20MRF_scopus.pdf
http://irep.iium.edu.my/62923/
http://www.ingentaconnect.com/contentone/asp/asl/2017/00000023/00000011/art00124
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الوصف
الملخص:This paper introduces the improved parameter estimation of Magnetorheological fluid (MRF) damper models for varying input current. The models being studied for the estimation are Bingham model, Simple Bouc-Wen model, Modified Bouc-Wen model, Hyperbolic Tangent Function model, and Nonlinear Biviscous model. In estimating the parameters of the models, a comparison between the simulation and the experimental results are made. The mathematical equations of each parameter are established as a function of the input current through curve fitting method. In order to optimize the estimation, the mathematical equations are divided into two range. It is found out that the model with the least value of parameter estimation error is Modified Bouc-Wen.