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Hysteretic Model of a Rotary Magnetorheological Damper in Helical Flow Mode

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Intelligent Computing and Internet of Things (ICSEE 2018, IMIOT 2018)

Abstract

To capture the accurate hysteretic characteristics of a rotary magnetorheological (MR) damper in reciprocating motion, a new model with reversibility is proposed and analyzed. The rotary MR damper in helical flow mode is designed and tested on MTS under different current to obtain the hysteretic characteristics. To portray hysteresis effectively and accurately, the proposed model composed of a shape function and hysteresis factor is introduced. To obtain the reversibility, the model is separated to the hysteretic part and current-dependent part based on normalization method. The two parts follow the multiplication rule. To improve computational efficiency, Constriction Factor Particle Swarm Optimization (CFPSO) algorithm is used to identify the model’s parameters. Feasibility and effectiveness of the identified model are validated through comparison with two typical dynamic models.

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Acknowledgments

We would like to thank the authors of the references for their enlightenment. This research is also supported financially by the National Natural Science Foundation of People’s Republic of China (Project No. 51675063), the Program for New Century Excellent Talents in University (No. NCET-13-0630) and the State Scholarship Fund of China Scholarship Council (No. 201706050094). These supports are gratefully acknowledged.

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Correspondence to Xiaomin Dong .

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Yu, J., Dong, X., Sun, S., Li, W. (2018). Hysteretic Model of a Rotary Magnetorheological Damper in Helical Flow Mode. In: Li, K., Fei, M., Du, D., Yang, Z., Yang, D. (eds) Intelligent Computing and Internet of Things. ICSEE IMIOT 2018 2018. Communications in Computer and Information Science, vol 924. Springer, Singapore. https://doi.org/10.1007/978-981-13-2384-3_2

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  • DOI: https://doi.org/10.1007/978-981-13-2384-3_2

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2383-6

  • Online ISBN: 978-981-13-2384-3

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