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Parametric analysis of non-linear suspension system by optimal MR damper by rider model with sensor

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Abstract

The MR damper parameters used in the vehicle model correspond to a real-world damper and are chosen so that the MR damper model characteristics match those of the experimental damper. The control and response statistics of a non-linear vehicle model utilising an MR damper are produced iteratively using the equivalent linearization method, and the findings are validated using rider optimisation (RO) simulation modelling. The suggested technique is easy to use, robust and well-suited for solving highly non-linear situations. The optimal parameters-arrived performance measure is examined, including ride comfort, tyre force, and protentional power, as well as the optimal design specifications for the front and rear dampers. The optimal control using preview reduces a performance index, which is a collection of vehicle performance parameters such as mass acceleration, displacement and both front and rear suspension stiffness. The results reveal that the developed RO algorithm is capable of determining the optimal parameters of the MR dampers.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Noorul Islam Center for Higher Education, Kumaracoil, Thuckalay, Kanyakumari, Tamil Nadu, India

    S. Tennison Augustine Jebaraj, N. Ramasamy & M. Dev Anand

  2. Department of Electronic Communication Engineering, Noorul Islam Center for Higher Education, Kumaracoil, Thuckalay, Kanyakumari, Tamil Nadu, India

    N. Santhi

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  1. S. Tennison Augustine Jebaraj
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  2. N. Ramasamy
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  3. M. Dev Anand
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  4. N. Santhi
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I have contributed most to the work, including writing of the manuscript. The sequence of authors should be determined by the relative overall contributions to the manuscript.

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Correspondence to S. Tennison Augustine Jebaraj.

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Jebaraj, S.T.A., Ramasamy, N., Anand, M.D. et al. Parametric analysis of non-linear suspension system by optimal MR damper by rider model with sensor. Asian J Civ Eng 25, 1413–1425 (2024). https://doi.org/10.1007/s42107-023-00852-6

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  • DOI: https://doi.org/10.1007/s42107-023-00852-6

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