%0 Journal Article
%T Modeling of a magneto
%A Abbas-Ali Zamani
%A Jafar Sadeghi
%A Sadegh Etedali
%A Saeed Tavakoli
%J Journal of Intelligent Material Systems and Structures
%@ 1530-8138
%D 2019
%R 10.1177/1045389X19835938
%X A magneto-rheological damper, which is controlled by a magnetic field, is an effective smart damping device in structural control. Because of the complexity of its dynamics, however, the modeling and control of magneto-rheological dampers is still a challenging problem. In this article, an improved multi-state-dependent parameter estimation method is introduced and employed for magneto-rheological damper modeling. To provide a comprehensive training data, a modified Bouc¨CWen model is used as the reference model. According to various tests, the proposed multi-state-dependent parameter model can predict the magneto-rheological damper response over a wide range of operating conditions fairly accurately
%K Hysteretic behavior
%K magneto-rheological damper
%K modeling
%K sorting data strategy
%K state-dependent parameter
%U https://journals.sagepub.com/doi/full/10.1177/1045389X19835938