Grey-wolf Optimization based vibration Control system for 7-degree of freedom structure: A case study on railway vehicle

Authors

  • Nitish Department of Electrical Engineering, Chitkara University Institute of Engineering and Technology, Chitkara University, Chandigarh Patiala, National Highway, Rajpura, Chandigarh, Punjab, India
  • Sonia Department of Electrical Engineering, Chitkara University Institute of Engineering and Technology, Chitkara University, Chandigarh Patiala, National Highway, Rajpura, Chandigarh, Punjab, India
  • Komal Department of Electrical Engineering, Chitkara University Institute of Engineering and Technology, Chitkara University, Chandigarh Patiala, National Highway, Rajpura, Chandigarh, Punjab, India

Keywords:

Active Suspension System, FOPID Control Structure, Grey-Wolf Optimization, RMS Acceleration, Ride Comfort

Abstract

In this modern era, vibration control of tall structures has been becoming extensively important. To extend the life of any structure, continuous monitoring and control of structural bodies play an important role. This paper investigates a 7-degree-of-freedom (DOF) dynamic model of a railway vehicle by considering the equations related to the translational and rotational motions of the car body. A control structure with Fractional Order Proportional Integral Derivative (FOPID) controllers is used to suppress the vibration of the car body. Vertical profile type random track irregularities are treated as the inputs to evaluate control performance. A metaheuristic optimisation technique named Cuckoo-Catfish Optimisation (CCO) is proposed to optimise the active force for the suspension system. Next, the tuning parameters of the proposed model have been compared with the passive system. The results show that the proposed metaheuristic algorithm performs outstandingly in decreasing the vehicle vibration using an active system. The percentage reductions of the vertical, lateral and pitch accelerations are found to be 40.76%, 43.75% and 32.35%, which ensure a better ride comfort of the car body.

References

L. R. Miller (1988), Tuning passive, semi-active, and fully active suspension systems',Proceedings of the 27th IEEE Conference on Decision and Control, vol.3, pp. 2047-2053, doi: 10.1109/CDC.1988.194694.

M. Metin, R. Guclu, Rail vehicle vibrations control using parameters adaptive PID controller, Math. Probl. Eng. 2014 (2014). https://doi.org/10.1155/2014/728946.

I. Afolabi Daniyan, K. Mpofu, Vibration Analysis and Control in the Rail Car System Using PID Controls, Noise Vib. Control - From Theory to Pract. (2019) 1–17. https://doi.org/10.5772/intechopen.85654

Published

2026-05-21

How to Cite

Nitish, Sonia, & Komal. (2026). Grey-wolf Optimization based vibration Control system for 7-degree of freedom structure: A case study on railway vehicle. Journal of Advanced Research in Mechanical Engineering and Technology, 13(1&2), 30-36. Retrieved from https://adrjournalshouse.com/index.php/mechanical-engg-technology/article/view/2693

Issue

Vol. 13 No. 1&2 (2026): Journal of Advanced Research in Mechanical Engineering and Technology

Section

Research Article

Copyright (c) 2026 Journal of Advanced Research in Mechanical Engineering and Technology

Creative Commons License

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