International Journal of Vehicle Structures and Systems

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Simulation of Quarter-Car Model with Magnetorheological Dampers for Ride Quality Improvement


Affiliations
1 Dept. of Mech. Engg, Amity School of Engg. and Tech., Amity University, Uttar Pradesh, Noida, India
2 Dept. of Mech. Engg.,Maharishi Markandeshwar (Deemed to be University), Mullana, Haryana, India
 

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A semi-active suspension system using Magnetorheological (MR) damper overcomes all the inherent limits of passive and active suspension systems and combines the advantages of both. This paper gives a concise introduction to the suspension system of a passenger vehicle which is presented along with the analysis of semi-active suspension system using MR fluid dampers based on Bingham model. MR dampers are filled with MR fluids whose properties can be controlled by applying voltage signal. To further prove the statement, a quarter car model with two degrees of freedom has been used for modeling the suspension system the sprung mass acceleration of passive suspension system has been compared with the semi-active suspension system using the Bingham model for MRF damper. Simulink/MATLAB is used to carry out the simulation. The results drawn show that the semi-active suspension system performed better than the passive suspension system in terms of vehicle stability.

Keywords

Magnetorheological Damper, Active Suspension, Ride Quality, Bingham Model, Simulink Model.
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  • B.G. Christensen, J.B. Ferris and J.L. Stein. 2000. An energy-enhanced design of experiments method applied to multi-body models, Proc. ASME Int. Mech. Engg. Congr. Expo, Orlando, USA.

  • K. Hemanth, H. Kumar and K.V. Gangadharan. 2017. Vertical dynamic analysis of a quarter car suspension system with MR damper, J. Brazilian Soc. Mech. Sci. Engg., 39, 41-51. https://doi.org/10.1007/s40430-015-0481-7.

  • K. Hyniova, A. Stribrsky, J. Honcu and A. Kruczek. 2009. Active suspension system - energy control, Proc. IFAC, 42, 146-152. https://doi.org/10.3182/20090921-3-TR-3005.00027.

  • A. Kjellberg. 1990. Psychological aspects of occupational vibration, Scand. J. Work Environ. Heal., 16, 39-43. https://doi.org/10.5271/sjweh.1824.

  • M. Yu, C.R. Liao, W.M. Chen and S.L. Huang. 2006. Study on MR semi-active suspension system and its road testing, J. Intell. Mater. Syst. Struct., 17, 801-806. https://doi.org/10.1177/1045389X06057534.

  • R.C. Sharma. 2013. Stability and eigenvalue analysis of an Indian railway general sleeper coach using Lagrangian dynamics, Int. J. Vehicle Structures & Systems, 5(1), 9-14. https://doi.org/10.4273/ijvss.5.1.02.

  • R.C. Sharma. 2012. Recent advances in railway vehicle dynamics, Int. J. Vehicle Structures & Systems, 4(2), 52-63. https://doi.org/10.4273/ijvss.4.2.04.

  • S.K. Sharma, R.C. Sharma, A. Kumar and S. Palli. 2015. Challenges in rail vehicle-track modeling and simulation, Int. J. Vehicle Structures & Systems, 7(1), 1-9. https://doi.org/10.4273/ijvss.7.1.01.

  • S.K. Sharma, A. Kumar and R.C. Sharma. 2014. Challenges in railway vehicle modeling and simulations, Proc. Int. Conf. Newest Drift Mech. Engg., 20-21, Ambala, India, 453-459.

  • S.K. Sharma and A. Kumar. 2017. Ride performance of a high speed rail vehicle using controlled semi active suspension system, Smart Mater. Struct., 26, 55026. https://doi.org/10.1088/1361-665X/aa68f7.

  • S.K. Sharma and A. Kumar. 2017. Disturbance rejection and force-tracking controller of nonlinear lateral vibrations in passenger rail vehicle using magnetorheological fluid damper, J. Intell. Mater. Syst. Struct., 29(2), 279-297. https://doi.org/10.1177/1045389X17721051.

  • S.K. Sharma and A. Kumar. 2017. Ride comfort of a higher speed rail vehicle using a magnetorheological suspension system, IMechE J. Multi-Body Dyn., 232(1), 32-48. https://doi.org/10.1177/1464419317706873.

  • S.K. Sharma and A. Kumar. 2016. The impact of a rigidflexible system on the ride quality of passenger bogies using a flexible carbody, Proc. 3rd Int. Conf. Railw. Tech. Res. Dev. Maintenance, UK.

  • S.K. Sharma and A. Kumar. 2017. Impact of electric locomotive traction of the passenger vehicle ride quality in longitudinal train dynamics in the context of Indian railways, Mech. Ind., 18, 222. https://doi.org/10.1051/meca/2016047.

  • F. Weber. 2014. Semi-active vibration absorber based on real-time controlled MR damper, Mech. Syst. Signal Process, 46, 272-288. https://doi.org/10.1016/j.ymssp.2014.01.017.

  • C. Yang, X. Jiao, L. Li, Y. Zhang and Z. Chen. 2018. A robust H ∞ control-based hierarchical mode transition control system for plug-in hybrid electric vehicle, Mech. Syst. Signal Process, 99, 326-44. https://doi.org/10.1016/j.ymssp.2017.06.023.

  • S.G. Braun. 2017. Signal processing and control challenges for smart vehicles, Mech. Syst. Signal Process, 87, 1-3. https://doi.org/10.1016/j.ymssp.2016.11.016.

  • J. Soukup, J. Skočilas and B. Skočilasová. 2017. Assessment of railway wagon suspension characteristics, Mech. Syst. Signal Process, 89, 67-77. https://doi.org/10.1016/j.ymssp.2016.08.022.

  • K. Sim, T. Park, W. Kim and J. Lee. 2013. A study on ride improvement of a high speed train using Skyhook control, Proc. 3rd Int. Conf. Mech. Prod. Automob. Engg.,Bali, 72-76.

  • Z. Fan, H. Zeng, J. Yang and J. Li. 2011. Study on decreasing vibration of high-speed train semi-active suspension system, Adv. Mater. Res., 230-232, 1104-1109. https://doi.org/10.4028/www.scientific.net/AMR.230-232.1104.

  • Y.C. Cheng, C.H. Chen and C.T. Hsu. 2016. Derailment and dynamic analysis of tilting railway vehicles moving over irregular tracks under environment forces, Int. J. Struct. Stab. Dyn.,. https://doi.org/10.1142/S0219455417500985.

  • R. Ceravolo, G.V. Demarie and S. Erlicher. 2007. Instantaneous identification of Bouc-Wen-type hysteretic systems from seismic response data, Key Engg. Mater., 347, 331-338. https://doi.org/10.4028/www.scientific .net/KEM.347.331.

  • R. Ceravolo, M.L. Pecorelli and L.Z. Fragonara. 2016. Semi-active control of the rocking motion of monolithic art objects, J. Sound Vib., 374, 1-16. https://doi.org/10.1016/j.jsv.2016.03.038.

  • R. Ceravolo, E. Matta, A. Quattrone, C. Surace and L.Z. Fragonara. 2012. On-line identification of time-varying systems equipped with adaptive control, J. Phys. Conf. Ser., 382, 12038. https://doi.org/10.1088/1742-6596/382/1/012038

  • O.S. Bursi, L. Vulcan, W. Salvatore and L. Nardini. 2004. Identification and control of structural systems, Prog. Comput. Struct. Technol., 171-200.

  • C.G. Deng, O.S. Bursi and R. Zandonini. 2000. A hysteretic connection element and its applications, Comput. Struct., 78, 93-110. https://doi.org/10.1016/S0045-7949(00)00070-5.

  • E. Matta, R. Ceravolo, A. de Stefano, A. Quattrone, L.Z. Fragonara. 2013. Unscented Kalman filter for non-linear identification of a new prototype of bidirectional tuned vibration absorber: A numerical investigation, Key Engg. Mater., 569-570, 948-955. https://doi.org/10.4028/www.scientific.net/KEM.569-570.948.

  • R. Ceravolo, N. Tondini, G. Abbiati and A. Kumar. 2012. Dynamic characterization of complex bridge structures with passive control systems, Struct. Control Heal. Monit., 19, 511-534. https://doi.org/10.1002/stc.450.


Abstract Views: 284

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  • Simulation of Quarter-Car Model with Magnetorheological Dampers for Ride Quality Improvement

Abstract Views: 284  |  PDF Views: 161

Authors

Sunil Kumar Sharma
Dept. of Mech. Engg, Amity School of Engg. and Tech., Amity University, Uttar Pradesh, Noida, India
Rakesh Chandmal Sharma
Dept. of Mech. Engg.,Maharishi Markandeshwar (Deemed to be University), Mullana, Haryana, India

Abstract


A semi-active suspension system using Magnetorheological (MR) damper overcomes all the inherent limits of passive and active suspension systems and combines the advantages of both. This paper gives a concise introduction to the suspension system of a passenger vehicle which is presented along with the analysis of semi-active suspension system using MR fluid dampers based on Bingham model. MR dampers are filled with MR fluids whose properties can be controlled by applying voltage signal. To further prove the statement, a quarter car model with two degrees of freedom has been used for modeling the suspension system the sprung mass acceleration of passive suspension system has been compared with the semi-active suspension system using the Bingham model for MRF damper. Simulink/MATLAB is used to carry out the simulation. The results drawn show that the semi-active suspension system performed better than the passive suspension system in terms of vehicle stability.

Keywords


Magnetorheological Damper, Active Suspension, Ride Quality, Bingham Model, Simulink Model.

References





DOI: https://doi.org/10.4273/ijvss.10.3.03