Preview

Research on Truck Active Suspension Systems Effectiveness with Auxiliary Hydraulic Cylinders

https://doi.org/10.21122/2227-1031-2025-24-2-143-151

Abstract

The vehicle's body oscillation when traversing bumps not only causes driver discomfort but also negatively impacts the quality of the transported cargo. Consequently, numerous research studies have been conducted to improve suspension system characteristics with the goal of enhancing the vehicle’s ride comfort and body stability. The majority of them have shown that equipping trucks with an active suspension is the most effective technical solution for ensuring comfortable working conditions for driver and cargo safety. This paper focuses on modeling and controlling an active suspension system for a truck in specialized simulation software, followed by evaluating its effectiveness compared to traditional passive suspension. In particular, the paper presents a quarter-vehicle suspension model integrated with an auxiliary hydraulic cylinder submodel controlled by a PID controller. The input parameters of the simulated suspension system were determined during full-scale experiments with real vehicles in laboratory and road conditions. To confirm the adequacy of the proposed mathematical model an experimental scenario was designed for measuring the vehicle body's oscillation parameters when traversing a step bump in the “passive” suspension control mode. After validating the model, the study proceeded to investigate the effectiveness of the active suspension system with the auxiliary hydraulic cylinder pressure PID control and compare the obtained results with the “passive” control option of the suspension system. The survey results indicate that the active suspension system, in conjunction with the PID control algorithm, significantly improves key performance metrics of the system. Specifically, the study found a reduction in oscillation damping time from 1.61 sec to 0.92 sec, a 16.7 % decrease in maximum amplitude  of vehicle body oscillation and a substantial 61.5 % average reduction in vehicle body oscillation acceleration. On the other hand, in the active suspension system, the damping ratio also improved by about 5.8 % (from 0.260 to 0.245). These findings underscore the effectiveness of the active suspension system, as developed in this research, in enhancing the overall performance of the vehicle in terms of stability, safety, and ride comfort.

About the Authors

Van Nghia Le
Hanoi University of Science and Technology
Viet Nam

Hanoi



Trong Dat Tran
Hanoi University of Science and Technology
Viet Nam

Address for correspondence:

Tran Trong Dat –

Hanoi University of Science and Technology,

1, Dai Co Viet Street, 100000, Ha Noi, Viet Nam.

Tel.: +84 91 169-19-17

Dat.trantrong@hust.edu.vn



Hoang Phuc Dam
Hanoi University of Science and Technology
Viet Nam

Hanoi



S. V. Kharytonchyk
Belаrusian National Technical University
Belarus


V. A. Kusyak
Belаrusian National Technical University
Belarus


References

1. Soliman A., Kaldas M. (2021) Semi-Active Suspension Systems From Research to Mass-Market – a Review. Journal of Low Frequency Noise, Vibration and Active Control, 40 (2), 1005–1023. https://doi.org/10.1177/1461348419876392.

2. Riduan A.F.M., Tamaldin N., Sudrajat A., Ahmad F. (2018) Review on Active Suspension System. SHS Web of Conferences, 49, 02008. https://doi.org/10.1051/shsconf/20184902008.

3. Karnopp D., Margolis D. (1984) Adaptive Suspension Concepts for Road Vehicles. Vehicle System Dynamics, 13 (3), 45–160. https://doi.org/10.1080/00423118408968772.

4. Mikhailau V. V., Snitkov A. G., Liahov S. V. (2016) Improvement of Bus Operational Characteristics While Using Integrated Control of Suspension and Transmission. Nauka i Tehnika = Science & Technique,15 (1), 37–45. https://doi.org/10.21122/2227-1031-2016-15-1-37-45 (in Russian).

5. Kumar M. S., Vijayarangan S. (2007) Analytical and Experimental Studies on Active Suspension System of Light Passenger Vehicle to Improve Ride Comfort. Mechanic, 65 (3), 34–41.

6. Lin B., Su X., Li X. (2019) Fuzzy Sliding Mode Control for Active Suspension System with Proportional Differential Sliding Mode Observer. Asian Journal of Control, 21 (1), 264–276. https://doi.org/10.1002/asjc.1882.

7. Chen S. A., Wang J. C., Yao M., Kim Y. B. (2017) Improved Optimal Sliding Mode Control for a Non-Linear Vehicle Active Suspension System. Journal of Sound and Vibration, 395, 1–25. https://doi.org/10.1016/j.jsv.2017.02.017.

8. Bai R., Guo D. (2018) Sliding Mode Control of the Active Suspension System with the Dynamics of a Hydraulic Actuator. Complexity, 2018, 5907208. https://doi.org/10.1155/2018/5907208.

9. Deshpande V. S., Mohan B., Shendge P., Phadke S. (2014) Disturbance Observer-Based Sliding Mode Control of Active Suspension Systems. Journal of Sound and Vibration, 333 (11), 2281–2296. https://doi.org/10.1016/j.jsv.2014.01.023.

10. Deshpande V. S., Bhaskara M., Phadke S. (2012) Sliding Mode Control of Active Suspension Systems Using a Disturbance Observer. 12th International Workshop on Variable Structure Systems. IEEE, 70–75. https://doi.org/10.1109/VSS.2012.6163480.

11. Leon-Vargas F., Garelli F., Zapateiro M. (2018) Limiting Vertical Acceleration for Ride Comfort in Active Suspension Systems. Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering, 232 (3), 223–232. https://doi.org/10.1177/0959651817745469.

12. Karkoub M. A., Zribi M. (2006) Active/Semi-Active Suspension Control Using Magnetorheological Actuators. International Journal of Systems Science, 37 (1), 35–44. https://doi.org/10.1080/00207720500436344.

13. East W., Turcotte J., Plante J. S., Julio G. (2021) Experimental Assessment of a Linear Actuator Driven by Magnetorheological Clutches for Automotive Active Suspensions. Journal of intelligent Material Systems and Structures, 32 (9), 955–970. https://doi.org/10.1177/1045389X21991237.

14. Le V. N., Dam H. P., Tran T. D., Nguyen T. K., Kharytonchyk S. V., Kusyak V. A. (2024) Control Voltage Effect on Operational Characteristics of Vehicle Magnetorheological Damper. Nauka i Tehnika = Science & Technique, 23 (5), 417–426. https://doi.org/10.21122/2227-1031-2024-23-5-417-426.

15. Shen X., Peng H. (2003) Analysis of Active Suspension Systems with Hydraulic Actuators. Proceedings of the 2003 IAVSD conference, Atsugi, Japan, August 2003, 2 (2), 10.

16. Liu Y. J., Zeng Q., Liu L., Tong S. (2018) An Adaptive Neural Network Controller for Active Suspension Systems with Hydraulic Actuator. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 50 (12), 5351–5360. https://doi.org/10.1109/TSMC.2018.2875187.

17. Su X. (2017) Master–Slave Control For Active Suspension Systems with Hydraulic Actuator dynamics. IEEE Access, 5, 3612–3621. https://doi.org/10.1109/ACCESS.2017.2672598.

18. Rajamani R., Hedrick J. (1994) Performance of Active Automotive Suspensions with Hydraulic Actuators: Theory and Experiment. IEEE, Proceedings of 1994 American Control Conference-ACC'94, 2, 1214–1218. https://doi.org/10.1109/acc.1994.752251.

19. Sam Y., Hudha K. (2006) Modelling and Force Tracking Control of Hydraulic Actuator for an Active Suspension system. 1st IEEE Conference on Industrial Electronics and Applications, 1–6. https://doi.org/10.1109/ICIEA.2006.257242.

20. Wang T., Li G. (2018) Adaptive Critic Optimal Fuzzy Control for Quarter-Car Suspension Systems. 5th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS), 440–444. https://doi.org/10.1109/ICCSS.2018.8572428.

21. Li H., Liu H., Gao H., Shi P. (2011) Reliable Fuzzy Control for Active Suspension Systems with Actuator Delay and Fault. IEEE Transactions on Fuzzy Systems, 20 (2), 342–357. https://doi.org/10.1109/TFUZZ.2011.2174244.

22. Rao M., Prahlad V. (1997) A Tunable Fuzzy Logic Controller for Vehicle-Active Suspension Systems. Fuzzy Sets and Systems, 85 (1), 11–21. https://doi.org/10.1016/0165-0114(95)00369-X.

23. Ahmed A.E.N.S., Ali A. S., Ghazaly N. M., Abd el-Jaber G. (2015) PID Controller of Active Suspension System for a Quarter Car Model. International Journal of Advances in Engineering & Technology, 8 (6), 899–909.

24. Shafiei B. (2022) A Review on PID Control System Simulation of the Active Suspension System of a Quarter Car Model while Hitting Road Bumps. Journal of The Institution of Engineers (India), Series C, 103 (4), 1001–1011. https://doi.org/10.1007/s40032-022-00821-z.

25. Talib M.H.A., Darns I.Z.M. (2013) Self-Tuning PID Controller for Active Suspension System with Hydraulic Actuator. IEEE Symposium on Computers & Informatics (ISCI). IEEE, 86–91. https://doi.org/10.1109/ISCI.2013.6612381.

26. Mahmoodabadi M., Nejadkourki N. (2022) Optimal Fuzzy Adaptive Robust PID Control for an Active Suspension system. Australian Journal of Mechanical Engineering, 20 (3), 681–691. https://doi.org/10.1080/14484846.2020.1734154.

27. Zhilevich M. (2003) Calculation of Mobile Machine Oscillations in View of Internal Processes in Pneumo-hydraulic Suspension. Nauka i Tehnika = Science & Technique, (5), 46–52 (in Russian).

28. Hurski N., Karami A. K. (2010) Modeling and Optimization of Vehicle Suspension Oscillations. Nauka i Tehnika = Science & Technique, (1), 44–47 (in Russian).

29. Gao H., Jézéque L., Cabrol E., Vitry B. (2020) Robust Design of Suspension System with Polynomial Chaos Expansion and Machine Learning. Nauka i Tehnika = Science & Technique, 19 (1), 43–54. https://doi.org/10.21122/2227-1031-2020-19-1-43-54.


Review

For citations:


Le V.N., Tran T.D., Dam H.P., Kharytonchyk S.V., Kusyak V.A. Research on Truck Active Suspension Systems Effectiveness with Auxiliary Hydraulic Cylinders. Science & Technique. 2025;24(2):143-151. https://doi.org/10.21122/2227-1031-2025-24-2-143-151

Views: 206


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2227-1031 (Print)
ISSN 2414-0392 (Online)