Dynamic Analysis of an Optimal Active Suspension System Using Global Search Optimization

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    This paper addresses ride comfort for quarter car active suspension system. Suspension dynamics are modelled by using two degree of freedom vibrating system, linear with time invariant quarter car model to capture the system dynamics when it is subjected to the road disturbance with different velocities. Global search optimization method is a strategy that overcomes the defects of the suspension system performance index formula, objective function (discontinuity, non-smooth) is used to find the optimal suspension spring stiffness and damping coefficient. The optimal active suspension system design is tested when the active elements is malfunctioned. The optimal design is compared with optimal passive suspension system in terms of ride comfort. The results showed that the optimal passive elements of optimal active suspension system provided better ride comfort ( ) even at the absent of the active elements compared to optimal passive suspension system.

     


  • Keywords


    active suspension system; ride comfort; optimization.

  • References


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      [2] ISO (1997), Mechanical Vibration and Shock: Evaluation of Human Exposure to Whole-body Vibration. Part 1, General Requirements: International Standard ISO 2631-1: (E). ISO 1997.

      [3] Griffin, Michael J. Handbook of human vibration. 1st Academic press. California, United States. 1996.

      [4] Gillespie, Thomas D. (1992), Fundamentals of vehicle dynamics. Society of Automotive Engineers, Inc. Warrendale,Pennsylvania, USA.

      [5] Butsuen, Tetsuro (1989), The design of semi-active suspensions for automotive vehicles. PhD diss., Massachusetts Institute of Technology,

      [6] Fathy Hosam K, Panos Y, Papalambros A, Galip Ulsoy, & Davor Hrovat (2003), Nested plant/controller optimization with application to combined passive/active automotive suspensions. American Control Conference, 2003. Proceedings of the vol 4, pp: 3375-3380. IEEE, 2003.

      [7] Allison, James T, Tinghao Guo & Zhi Han (2014), Co-design of an active suspension using simultaneous dynamic optimization. Journal of Mechanical Design 136, no. 8 081003.

      [8] Coleman T, Branch MA & Grace A (1999), Optimization toolbox users guide, The MathWorks, Inc.


 

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Article ID: 16621
 
DOI: 10.14419/ijet.v7i3.17.16621




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