Articles | Volume 17, issue 1
https://doi.org/10.5194/ms-17-397-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ms-17-397-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Active disturbance rejection control of tractor cab suspension with a multi-state adjustable damper
Fujian Provincial University Research Center for Digitalization and Intellectualization of the Bamboo Whole Industry Chain, Wuyi University, Nanping, Fujian 354300, China
Fujian Key Laboratory of Big Data Application and Intellectualization for Tea Industry, Wuyi University, Nanping, Fujian 354300, China
Fujian Provincial University Research Center for Digitalization and Intellectualization of the Bamboo Whole Industry Chain, Wuyi University, Nanping, Fujian 354300, China
Fujian Key Laboratory of Big Data Application and Intellectualization for Tea Industry, Wuyi University, Nanping, Fujian 354300, China
ZhenYing Liang
Fujian Provincial University Research Center for Digitalization and Intellectualization of the Bamboo Whole Industry Chain, Wuyi University, Nanping, Fujian 354300, China
Weiqi Chen
Fujian Provincial University Research Center for Digitalization and Intellectualization of the Bamboo Whole Industry Chain, Wuyi University, Nanping, Fujian 354300, China
Fujian Key Laboratory of Big Data Application and Intellectualization for Tea Industry, Wuyi University, Nanping, Fujian 354300, China
Bo Guo
CORRESPONDING AUTHOR
Fujian Provincial University Research Center for Digitalization and Intellectualization of the Bamboo Whole Industry Chain, Wuyi University, Nanping, Fujian 354300, China
Fujian Key Laboratory of Big Data Application and Intellectualization for Tea Industry, Wuyi University, Nanping, Fujian 354300, China
Yihan Huang
Fujian Provincial University Research Center for Digitalization and Intellectualization of the Bamboo Whole Industry Chain, Wuyi University, Nanping, Fujian 354300, China
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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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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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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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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.
Cited articles
Atindana, V. A., Xu, X., Nyedeb, A. N., Quaisie, J. K., Nkrumah, J. K., and Assam, S. P.: The evolution of vehicle pneumatic vibration isolation: A systematic review, Shock Vibration, 2023, 1716615, https://doi.org/10.1155/2023/1716615, 2023.
Bai, X., Lu, L., Zhang, C., and Geng, W.: Research on height adjustment characteristics of heavy vehicle active air suspension based on fuzzy control, World Electric Vehicle Journal, 14, 210, https://doi.org/10.3390/wevj14080210, 2023.
Barač, Ž., Plaščak, I., Jurić, T., and Marković, M.: The Impact of Vibrations on the Hand–Arm System and Body of Agricultural Tractor Operators in Relation to Operational Parameters, Approach: Analytical Hierarchical Process (AHP), AgriEngineering, 7, https://doi.org/10.3390/agriengineering7030056, 2025.
Bin, C. and Wei, T.: Wheel loader seat damping control research based on ADRC, Adv. Mech. Eng., 16, 16878132241281277, https://doi.org/10.1177/16878132241281277, 2024.
Cai, Z., An, X., Xie, D., Xue, Y., Liu, X., Wang, Q., Chen, L., Liu, L., Zhang, C., and Xue, C.: An attitude control method with model-aided estimation and parameter-adaptive optimization for high clearance sprayers, Computers Electronics in Agriculture, 237, 110572, https://doi.org/10.1016/j.compag.2025.110572, 2025.
Carreño-Zagarra, J., Moreno, J., and Guzmán, J.: Optimal active disturbance rejection control for second order systems, IEEE Access, 12, 76244-76256, https://doi.org/10.1109/ACCESS.2024.3401079, 2024.
Chen, X., Wang, Z., Shi, H., Jiang, N., Zhao, S., Qiu, Y., and Liu, Q.: Review of Agricultural Machinery Seat Semi-Active Suspension Systems for Ride Comfort, Machines, 13, 246, https://doi.org/10.3390/machines13030246, 2025.
Chen, Y., Shen, S., Li, Z., Hu, Z., and Li, Z.: Semi-Active Suspension Control Strategy Based on Negative Stiffness Characteristics, Mathematics, 12, 3346, https://doi.org/10.3390/math12213346, 2024.
de la Hoz-Torres, M. L., Aguilar, A. J., Martínez-Aires, M. D., and Ruiz, D. P.: A methodology for assessment of long-term exposure to whole-body vibrations in vehicle drivers to propose preventive safety measures, J. Safety Res., 78, 47–58, https://doi.org/10.1016/j.jsr.2021.04.002, 2021.
Diao, S., Zhao, X., Zhao, D., Dong, Z., and Qin, Y.: Hierarchical control of vehicle active suspension system with uncertain sprung mass and time-varying disturbance, P. I. Mech. Eng. D-J. Aut., 09544070251333855, https://doi.org/10.1177/09544070251333855, 2025.
Díaz-Choque, C. S., Félix-Herrán, L., and Ramírez-Mendoza, R. A.: Optimal skyhook and groundhook control for semiactive suspension: A comprehensive methodology, Shock Vibration, 2021, 8084343, https://doi.org/10.1155/2021/8084343, 2021.
Fu, S., Liu, M., Wu, H., Liang, X., and Zeng, X.: Active disturbance rejection control based on BP neural network for suspension system of electromagnetic suspension vehicle, International Journal of Dynamics and Control, 13, 1, https://doi.org/10.1007/s40435-024-01515-3, 2024.
Gao, Z., Yan, H., and Zhou, X.: Active Disturbance Rejection Control of Microgrid DC-DC Converter Based on AC Algorithm, 2024 IEEE International Conference on Mechatronics and Automation (ICMA), 876–881, https://doi.org/10.1109/ICMA61710.2024.10633147, 2024.
Guo, X., Zhang, J., and Sun, W.: Robust saturated fault-tolerant control for active suspension system via partial measurement information, Mechanical Systems Signal Processing, 191, 110116, https://doi.org/10.1016/j.ymssp.2023.110116, 2023.
Herbst, G. and Madonski, R.: Active Disturbance Rejection Control: From Principles to Practice, Springer Nature, https://doi.org/10.1007/978-3-031-72687-3, 2025.
Hu, L., Zhou, C., Wan, Y., and Wang, H.: Research on the Vibration Characteristics of Air Spring Suspension Seats Considering Friction Damping, Appl. Sci., 15, 5817, https://doi.org/10.3390/app15115817, 2025.
Ji, G., Li, S., Feng, G., Li, Z., and Shen, X.: Time-delay compensation control and stability analysis of vehicle semi-active suspension systems, Mechanical Systems Signal Processing, 228, 112414, https://doi.org/10.1016/j.ymssp.2025.112414, 2025.
Jiang, Y., Wang, R., Sun, D., Ding, R., and Yang, L.: Hybrid damping control of magnetorheological semi-active suspension based on feedback linearization Kalman observer, Meccanica, 59, 1087–1102, https://doi.org/10.1007/s11012-024-01827-w, 2024.
Jin, H., Song, J., Lan, W., and Gao, Z.: On the characteristics of ADRC: A PID interpretation, Science China, Information Sciences, 63, 209201, https://doi.org/10.1007/s11432-018-9647-6, 2020.
Lecocq, M., Lantoine, P., Bougard, C., Allègre, J.-M., Bauvineau, L., González, D., Bourdin, C., Marqueste, T., and Dousset, E.: Perceived discomfort and neuromuscular fatigue during long-duration real driving with different car seats, Plos one, 17, e0278131, https://doi.org/10.1371/journal.pone.0278131, 2022.
Li, Q., Chen, Z., Song, H., and Dong, Y.: Finite frequency H∞ control of discrete linear parameter-varying systems, J. Vib. Control, 10775463251325595, https://doi.org/10.1177/10775463251325595, 2025.
Liao, X., Du, X., and Li, S.: Design of cab seat suspension system for construction machinery based on negative stiffness structure, Adv. Mech. Eng., 13, 16878140211044931, https://doi.org/10.1177/16878140211044931, 2021.
Lu, Y., Khajepour, A., Liu, Y., and Zhen, R.: Adaptive cabin suspension systems of commercial vehicles: a review of the state-of-art and future trends, Int. J. Heavy Veh. Syst., 29, 33–47, https://doi.org/10.1504/IJHVS.2022.123242, 2022.
Maciejewski, I., Blazejewski, A., Pecolt, S., and Krzyzynski, T.: A sliding mode control strategy for active horizontal seat suspension under realistic input vibration, J. Vib. Control, 29, 2539–2551, https://doi.org/10.1177/10775463221082716, 2023.
Múčka, P.: Simulated road profiles according to ISO 8608 in vibration analysis, J. Test. Eval., 46, 405–418, https://doi.org/10.1520/JTE20160265, 2018.
Na, J., Huang, Y., Wu, X., Liu, Y.-J., Li, Y., and Li, G.: Active suspension control of quarter-car system with experimental validation, IEEE Transactions on Systems, Man, Cybernetics: Systems, 52, 4714–4726, https://doi.org/10.1109/TSMC.2021.3103807, 2021.
Nguyen, T. A.: Active Disturbance Rejection Control for an automotive suspension system based on parameter tuning using a fuzzy technique, PloS One, 20, e0313104, https://doi.org/10.1371/journal.pone.0313104, 2025.
Ni, S. and Nguyen, V.: Performance of semi-active cab suspension system with different control methods, Journal of Mechatronics Artificial Intelligence in Engineering, 4, 8–17, https://doi.org/10.21595/jmai.2022.23019, 2023.
Schneider, L., Sogemeier, D., Weber, D., and Jaitner, T.: Effects of a seat-integrated mobilization system on long-haul truck drivers motion activity, muscle stiffness and discomfort during a 4.5-h simulated driving task, Appl. Ergon., 106, 103889, https://doi.org/10.1016/j.apergo.2022.103889, 2023.
Shen, Y., Li, J., Huang, R., Yang, X., Chen, J., Chen, L., and Li, M.: Vibration control of vehicle ISD suspension based on the fractional-order SH-GH stragety, Mech. Syst. Signal Pr., 234, 112880, https://doi.org/10.1016/j.ymssp.2025.113740, 2025.
Shen, Y., Ren, H., and Sara, Y.: Vehicle semi-active air ISD suspension with frequency-varying negative stiffness: design, control, and experimental validation, Mech. Syst. Signal Pr., 244, 113740, https://doi.org/10.1016/j.ymssp.2025.112880, 2026.
Soliman, A. and Kaldas, M.: Semi-active suspension systems from research to mass-market–A review, J. Low Freq. Noise V. A., 40, 1005-1023, https://doi.org/10.1177/1461348419876392, 2021.
Sun, Q., Yin, C., and Wang, B.: The application of neural networks driven by nonlinear model data in road roughness estimation, Meas. Sci. Technol., 36, 026004, https://doi.org/10.1088/1361-6501/ad9855, 2024.
Tao, W. and Liu, Z.: Variable universe fuzzy control of the wheel loader semi-active cab suspension with multimode switching shock absorber, T. Can. Soc. Mech. Eng., 45, 548–561, 2021.
Tao, W., Chen, B., Zhou, L., Zheng, Z., Wu, J., and Duan, M.: 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), Mech. Sci., 16, 113–124, https://doi.org/10.5194/ms-16-113-2025, 2025.
Wang, H., Wang, Z., and Long, Z.: A Modified ADRC Scheme Based on Model Information for Maglev Train, Actuators, 13, 328, https://doi.org/10.3390/act13090328, 2024.
Wos, P. and Dziopa, Z.: Study of the Vibration Isolation Properties of a Pneumatic Suspension System for the Seat of a Working Machine with Adjustable Stiffness, Appl. Sci., 14, https://doi.org/10.3390/app14146318, 2024.
Yang, X., Shen, Y., Liu, C., and Zhang, T.: Design and Performance Analysis of HMDV Dynamic Inertial Suspension Based on Active Disturbance Rejection Control, CMES-Comp. Model. Eng., 140, https://doi.org/10.32604/cmes.2024.049837, 2024.
Yang, X., Sun, R., Yang, Y., Liu, Y., Hong, J., and Liu, C.: Enhanced Seat Suspension Performance Through Positive Real Network Optimization and Skyhook Inertial Control, Machines, 13, 222, https://doi.org/10.3390/machines13030222, 2025.
Yu, C., Yao, J., Jiao, S., and Li, D.: Design and verification of a magnetorheological elastomer-based vibration isolator with adjustable stiffness, Structures, 108762, https://doi.org/10.1016/j.istruc.2025.108762, 2025.
Yu-Hao, T., Rui-Feng, W., and Wen-Hao, S.: Active disturbance rejection control – New trends in agricultural cybernetics in the future: A comprehensive review, Machines, 13, 111, https://doi.org/10.3390/machines13020111, 2025.
Zhang, N., Zhao, Q., and Huang, S.: Optimal sliding mode hierarchical decoupled control of vehicle semi-active suspension, Vehicle Syst. Dyn., 1–31, https://doi.org/10.1080/00423114.2024.2398750, 2024.
Zhang, S., Ren, W., Xie, B., Luo, Z., Wen, C., Chen, Z., Zhu, Z., and Li, T.: A combined control method of traction and ballast for an electric tractor in ploughing based on load transfer, Computers Electronics in Agriculture, 207, 107750, https://doi.org/10.1016/j.compag.2023.107750, 2023.
Short summary
This study improves tractor ride comfort by reducing vibrations that affect operators during field work. A new adjustable suspension system and control method were developed to respond to uneven terrain and engine motion in real time. Results show significant vibration reduction compared to existing methods. This approach can help reduce fatigue, improve safety, and enhance stability in agricultural machinery.
This study improves tractor ride comfort by reducing vibrations that affect operators during...