International Journal of Vehicle Structures and Systems

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Modelling and Simulation of Full Vehicle Model with Variable Damper Controlled Semi-Active Suspension System


Affiliations
1 Dept. of Auto. Engg. Research Institute, Jiangsu University, Zhenjiang, China
2 Dept. of Mechatronics Engg., SRM Institute of Science and Technology, Kattankulathur, Chennai, India
 

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The main objective of the variable damper controlled vehicle suspension system is to reduce the discomfort identified by passengers which arises from road roughness and to increase the ride handling related with the rolling, pitching and heave movements. This imposes a very fast and accurate variable damper to meet as much control objectives, as possible. The method of the proposed damper is to reduce the vibrations on each corner of vehicle by providing control forces to suspension system while travelling on uneven road. Numerical simulations on a full vehicle suspension model are performed in the Matlab Simulink toolboxes to evaluate the effectiveness of the proposed approach. The obtained results show that the proposed system provides better results than the conventional suspension system.

Keywords

Full Vehicle Model, 7 Degree of Freedom, Semi-Active Suspension, Passive Suspension, Simulation.
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  • Z. Xie, P. Wong, J. Zhao, T. Xu, K.Wong and H. Wong. 2013. A noise-insensitive semi-active air suspension for heavy-duty vehicles with an integrated fuzzy-wheelbase preview control, Mathematical Problems in Engineering, 2013, 1-12.

  • H. Pan, W. Sun, H. Gao, T. Hayat and F. Alsaadi. 2015. Nonlinear tracking control based on extended state observer for vehicle active suspensions with performance constraints, Mechatronics, 30, 363-370. https://doi.org/10.1016/j.mechatronics.2014.07.006

  • C. Junyi and B. Gang. 2011. Fractional-order control of pneumatic position servo system, Mathematical Problems in Engg., 1-14.

  • W. Sun, H. Pan, Y. Zhang and H. Gao. 2014. Multi-objective control for uncertain nonlinear active suspension systems, Mechatronics, 24(4), 318-327. https://doi.org/10.1016/j.mechatronics.2013.09.009.

  • R.C. Sharma and S. Palli. 2016. Analysis of creep force and its sensitivity on stability and vertical-lateral ride for railway vehicle, Int. J. Vehicle Noise & Vibration, 12(1), 60-76. https://doi.org/10.1504/IJVNV.2016.077474.

  • S. Palli, R.C. Sharma and P.P.D. Rao. 2017. Dynamic behaviour of a 7 DoF passenger car model, Int. J. Vehicle Structures and Systems, 9(1), 57-63. http://dx.doi.org/10.4273/ijvss.9.1.12.

  • I. Maciejewski. 2012. Control system design of active seat suspensions, J Sound Vib, 331 1291-1309. https://doi.org/10.1016/j.jsv.2011.11.010.

  • Y. Huang, J. Nan, X. Wu, X. Liu and Y. Guo. 2015. Adaptive control of nonlinear uncertain active suspension systems with prescribed performance, ISA Trans., 54, 145-155. https://doi.org/10.1016/j.isatra.2014.05.025.

  • L. Panshuo, J. Lam and K.C. Cheung. 2014. Multiobjective control for active vehicle suspension with wheelbase preview, J. Sound and Vibration, 333, 5269-5282. https://doi.org/10.1016/j.jsv.2014.06.017.

  • H. Li, H. Liu, H. Gao and P. Shi. 2012. Reliable fuzzy control for active suspension systems with actuator delay and fault, IEEE Trans Fuzzy Syst., 20(2), 342-57. https://doi.org/10.1109/TFUZZ.2011.2174244.

  • R.C. Sharma and K.K. Goyal. 2017. Improved suspension design of Indian railway general sleeper ICF coach for optimum ride comfort, J. Vibration Engg. & Tech., 5(6), 547-556.

  • A. Shirahatt, P.S.S. Prasad, P. Panzade and M.M. Kulkarni. 2008. Optimal design of passenger car suspension for ride and road holding, J. Brazil. Society of Mechanical, Sci. and Engg., 30(1), 66-74.

  • R.C. Sharma. 2016. Evaluation of passenger ride comfort of Indian rail and road vehicles with ISO 2631-1 standards: Part 1 - Mathematical modelling, Int. J. Veh. Structures & Systems, 8(1), 1-6. http://dx.doi.org/10.4273/ijvss.8.1.01.

  • H. Dua, K.Y. Szeb and J. Lam. 2005. Semi-active H1 controls of vehicle suspension with magneto-rheological dampers, J. Sound and Vibration, 283, 981-996. https://doi.org/10.1016/j.jsv.2004.05.030.

  • R.S. Prabakar, C. Sujatha and S. Narayanan. 2013, Response of a quarter car model with optimal magneto rheological damper parameters, J. Sound and Vibration, 332(9), 2191-2206. https://doi.org/10.1016/j.jsv.2012.08.021.

  • E. Guglielmino and K. Edge. 2005. Controlled friction damper for vehicle applications, Control Engg. Practice, 12(4), 431-443.

  • S. Savaresi, S. Bittanti and M. Montiglio. 2005. Identification of semi-physical and black-box non-linear models: the case of MR-dampers for vehicles control, Automatica, 41, 113-117.

  • M. Yu, X.M. Dong, S.B. Choi and CR. Liao. 2009. Human simulated intelligent control of vehicle suspension system with MR dampers, J. Sound and Vibration, 319, 753-767. https://doi.org/10.1016/j.jsv.2008.06.047.

  • P. Krause and J. Kaspersky. 2014. Vibration control in quarter-car model with magneto rheological dampers using FxLMS algorithm with preview, Proc. European Control Conf., 1005-1010.

  • D.M. Xu, M.O. Mohamed, R.N. Yong and F. Caporuscio. 1992. Development of a criterion for road surface roughness based on power spectral, J. Terra Mechanics, 29(4/5), 477-486.

  • B. Wang, H. Guan, P. Lu and A. Zhang. 2014. Road surface condition identification approach based on road characteristic value, J. Terra Mechanics, 56, 103-117.


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  • Modelling and Simulation of Full Vehicle Model with Variable Damper Controlled Semi-Active Suspension System

Abstract Views: 220  |  PDF Views: 98

Authors

P. Sathishkumar
Dept. of Auto. Engg. Research Institute, Jiangsu University, Zhenjiang, China
S. Rajeshkumar
Dept. of Mechatronics Engg., SRM Institute of Science and Technology, Kattankulathur, Chennai, India
T. S. Rajalakshmi
Dept. of Mechatronics Engg., SRM Institute of Science and Technology, Kattankulathur, Chennai, India
J. Thiyagarajan
Dept. of Mechatronics Engg., SRM Institute of Science and Technology, Kattankulathur, Chennai, India
J. Arivarasan
Dept. of Mechatronics Engg., SRM Institute of Science and Technology, Kattankulathur, Chennai, India

Abstract


The main objective of the variable damper controlled vehicle suspension system is to reduce the discomfort identified by passengers which arises from road roughness and to increase the ride handling related with the rolling, pitching and heave movements. This imposes a very fast and accurate variable damper to meet as much control objectives, as possible. The method of the proposed damper is to reduce the vibrations on each corner of vehicle by providing control forces to suspension system while travelling on uneven road. Numerical simulations on a full vehicle suspension model are performed in the Matlab Simulink toolboxes to evaluate the effectiveness of the proposed approach. The obtained results show that the proposed system provides better results than the conventional suspension system.

Keywords


Full Vehicle Model, 7 Degree of Freedom, Semi-Active Suspension, Passive Suspension, Simulation.

References





DOI: https://doi.org/10.4273/ijvss.10.3.02