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The Dynamic Models, Control Strategies and Applications for Magnetorheological Damping Systems: A Systematic Review

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Abstract

Purpose

The magnetorheological (MR) damping devices have attracted an increasing amount of attention in the field of vibration control for their excellent performance of the vibration absorption. Systematically, the constitutive mechanical models of the MR fluids affect the control accuracy for the control strategies and the applications of the MR dampers.

Methods

This work elaborately gives a systematic review on the control issues with the MR devices, thus, covering the dynamic models of the MR dampers, the state-of-the-art research, and the damping control strategies and its applications, which provide the necessary fundamental theories and the references for the damping control design of an MR damping device.

Results

According to the advanced degree of the control algorithms that are discussed in detail, they can be classified into three categories, namely, the classical control algorithms, the advanced control algorithms, and the intelligent control algorithms. The damping control strategies determine the control quality, which is the soul of an MR damping control system. There is still room to improve the algorithm for the controller for MR dampers.

Conclusions

Employing the smart algorithms of machine learning, the work directs much more attention to the foundational research on the application of the artificial intelligence algorithms in damping control, outlining a perspective to combine the advantages of the individual different intelligent algorithms that could be an alternative solution to control of an MR damping device for the complex problems.

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Acknowledgements

This work was funded by the National Natural Science Foundation of China (Grant No. 51305435) and the Fundamental Research Funds for the Central Universities (Grant No. 2232018G-05). We would like to thank Professor Ying Liu at Cardiff University for his sincere advice.

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  1. College of Mechanical Engineering, Donghua University, Shanghai, 201620, China

    Hongzhan Lv, Songsong Zhang, Qi Sun & Rui Chen

  2. Department of Mechanical Engineering, University of Saskatchewan, Saskatoon, SK, S7N 5A9, Canada

    W. J. Zhang

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  1. Hongzhan Lv
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  2. Songsong Zhang
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  3. Qi Sun
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Correspondence to Hongzhan Lv.

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Lv, H., Zhang, S., Sun, Q. et al. The Dynamic Models, Control Strategies and Applications for Magnetorheological Damping Systems: A Systematic Review. J. Vib. Eng. Technol. 9, 131–147 (2021). https://doi.org/10.1007/s42417-020-00215-4

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