Articles | Volume 16, issue 2
https://doi.org/10.5194/ms-16-639-2025
https://doi.org/10.5194/ms-16-639-2025
Research article
 | 
28 Oct 2025
Research article |  | 28 Oct 2025

Adaptive disturbance rejection control of magnetorheological seat suspension systems based on adaptive neuro-fuzzy inference system inverse modeling and improved crow search optimization

Xinkun Yang, Bin Chen, Wei Tao, Bo Guo, Yihan Huang, and Weiqi Chen

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Short summary
This study developed a new method to improve the comfort and safety of agricultural vehicle seats by reducing harmful vibrations. Using a smart combination of modeling and real-time control, the system adapts to different road conditions more effectively than existing solutions. Tests showed that this approach greatly lowered vibration levels. The research helps protect drivers' health and sets the stage for smarter vehicle suspension systems.
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