| 제목 |
인공신경망을 이용한 실험적 부싱모델링 |
| 분야 |
차량동역학 및 제어 |
| 언어 |
Korean |
| 저자 |
손정현(부산대학교), 유완석(부산대학교), 박동운(부산대학교) |
| Key Words |
Bushing(부싱), Artificial neural network(인공신경망), Vehicle dynamic(차량동역학), Durability test(내구성시험), Computer simulation(컴퓨터 시뮬레이션) |
| 초록 |
In this paper, a blackbox approach is carried out to model the nonlinear dynamic bushing model. One-axis durability test is performed to describe the mechanical behavior of typical vehicle elastomeric components. The results of the tests are used to develop an empirical bushing model with an artificial neural network. The 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. |
| 원문(PDF) |
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