Paper
2 April 2015 Hysteresis modeling and experimental validation of a magnetorheological damper
Xian-Xu Bai, Peng Chen, Li-Jun Qian, An-Ding Zhu
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Abstract
In this paper, for modeling the MR dampers, based on the phenomenological model, a normalized phenomenological model is derived through incorporating a “normalization” concept and a restructured model is proposed and realized also with incorporation of the “normalization” concept. In order to demonstrate, a multi-islands genetic algorithm (GA) is employed to identify the parameters of the restructured model, the normalized phenomenological model as well as the phenomenological model. The research results indicate that, as compared with the phenomenological model and the normalized phenomenological model, (1) the restructured model not only can effectively decrease the number of the model parameters and reduce the complexity of the model, but also can describe the nonlinear hysteretic behavior of MR dampers more accurately, and (2) the normalized phenomenological model can improve the model efficiency as compared with the phenomenological model, although not as good as the restructured model.
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Xian-Xu Bai, Peng Chen, Li-Jun Qian, and An-Ding Zhu "Hysteresis modeling and experimental validation of a magnetorheological damper", Proc. SPIE 9431, Active and Passive Smart Structures and Integrated Systems 2015, 943132 (2 April 2015); https://doi.org/10.1117/12.2084119
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KEYWORDS
Performance modeling

Systems modeling

Mathematical modeling

Control systems

Computer simulations

Data modeling

Genetic algorithms

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