Articles | Volume 16, issue 1
https://doi.org/10.5194/ms-16-113-2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
Research article
| 
14 Feb 2025
Research article |
| 14 Feb 2025
| 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)
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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.
