Articles | Volume 16, issue 1
https://doi.org/10.5194/ms-16-113-2025
https://doi.org/10.5194/ms-16-113-2025
Research article
 | 
14 Feb 2025
Research article |  | 14 Feb 2025

Design of a magnetorheological (MR) suspension damper for an agricultural tractor seat based on an adaptive neuro-fuzzy inference system (ANFIS) and active disturbance rejection control (ADRC)

Wei Tao, Bin Chen, Luyang Zhou, Zhixiong Zheng, Jianjin Wu, and Minghao Duan

Related subject area

Subject: Mechanisms and Robotics | Techniques and Approaches: Mathematical Modeling and Analysis
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Cited articles

Abd Elwahed, A. A., Metered, H., and Monieb, H.: Dynamic Behavior Prediction of Magnetorheological Fluid Dampers using Neural Networks, Eur. J. Sci. Innov. Technol., 4, 249–262, 2024. 
Aguirre, N., Ikhouane, F., Rodellar, J., and Christenson, R.: Parametric identification of the Dahl model for large scale MR dampers, Struct. Control Health Monit., 19, 332–347, https://doi.org/10.1002/stc.434, 2012. 
Ahn, D.-V., Kim, K., Oh, J., Seo, J., Lee, J. W., and Park, Y.-J.: Optimal Control of Semi-Active Suspension for Agricultural Tractors Using Linear Quadratic Gaussian Control, Sensors, 23, 6474, https://doi.org/10.3390/s23146474, 2023. 
Archakam, P. K. and Muthuswamy, S.: Design and simulation of a crash energy absorption system integrated with magneto-rheological absorber, J. Vib. Eng. Technol., 9, 1635–1656, https://doi.org/10.1007/s42417-021-00318-6, 2021. 
Bahar, A., Pozo, F., Meybodi, M. R., and Karami, S.: Magnetorheological Fluid Dampers: A Close Look at Efficient Parametric Models, Struct. Control Health Monit., 2024, 6860185, https://doi.org/10.1155/2024/6860185, 2024. 
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Short summary
We developed an advanced control system to enhance the comfort of vehicle seats by reducing vibrations. This innovative system combines an adaptive neuro-fuzzy inference system (ANFIS) and active disturbance rejection control (ADRC) to effectively manage the magnetorheological (MR) damper. Our research showed significant improvements in reducing seat vibrations. Moreover, the system's performance has been demonstrated to exceed that of conventional controls.
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