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http://dx.doi.org/10.12989/sss.2019.24.3.303

Characterizing nonlinear oscillation behavior of an MRF variable rotational stiffness device  

Yu, Yang (Centre for Built Infrastructure Research, School of Civil and Environmental Engineering, University of Technology Sydney)
Li, Yancheng (Centre for Built Infrastructure Research, School of Civil and Environmental Engineering, University of Technology Sydney)
Li, Jianchun (Centre for Built Infrastructure Research, School of Civil and Environmental Engineering, University of Technology Sydney)
Gu, Xiaoyu (Centre for Built Infrastructure Research, School of Civil and Environmental Engineering, University of Technology Sydney)
Publication Information
Smart Structures and Systems / v.24, no.3, 2019 , pp. 303-317 More about this Journal
Abstract
Magneto-rheological fluid (MRF) rotatory dampers are normally used for controlling the constant rotation of machines and engines. In this research, such a device is proposed to act as variable stiffness device to alleviate the rotational oscillation existing in the many engineering applications, such as motor. Under such thought, the main purpose of this work is to characterize the nonlinear torque-angular displacement/angular velocity responses of an MRF based variable stiffness device in oscillatory motion. A rotational hysteresis model, consisting of a rotatory spring, a rotatory viscous damping element and an error function-based hysteresis element, is proposed, which is capable of describing the unique dynamical characteristics of this smart device. To estimate the optimal model parameters, a modified whale optimization algorithm (MWOA) is employed on the captured experimental data of torque, angular displacement and angular velocity under various excitation conditions. In MWOA, a nonlinear algorithm parameter updating mechanism is adopted to replace the traditional linear one, enhancing the global search ability initially and the local search ability at the later stage of the algorithm evolution. Additionally, the immune operation is introduced in the whale individual selection, improving the identification accuracy of solution. Finally, the dynamic testing results are used to validate the performance of the proposed model and the effectiveness of the proposed optimization algorithm.
Keywords
magneto-rheological fluid; variable stiffness device (VSD); rotational hysteresis model; parameter identification; whale optimization algorithm;
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Times Cited By KSCI : 5  (Citation Analysis)
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