Journal of Mechanical Science and Technology

The Korean Society of Mechanical Engineers (대한기계학회)
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Vehicle Dynamic Simulation Including an Artificial Neural Network Bushing Model

  • Sohn, Jeong-Hyun (Department of Mechanical Engineering, Pukyong National University) ;
  • Baek-Woon-Kyung (Department of Mechanical Engineering, Pukyong National University)
  • Published : 2005.01.01
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Abstract

In this paper, a practical bushing model is proposed to improve the accuracy of the vehicle dynamic analysis. The results of the rubber bushing are used to develop an empirical bushing model with an artificial neural network. A back propagation algorithm is used to obtain the weighting factor of the neural network. Since the output for a dynamic system depends on the histories of inputs and outputs, Narendra algorithm of 'NARMAX' form is employed to consider these effects. A numerical example is carried out to verify the developed bushing model. Then, a full car dynamic model with artificial neural network bushings is simulated to show the feasibility of the proposed bushing model.

Keywords

References

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